| [1] |
Kathy H. Abbott.
Robust operative diagnosis as problem solving in a hypothesis space.
In Proceedings of the Fifteenth National Conference on
Artificial Intelligence (AAAI-98), pages 369-374, Minneapolis, MN, 1988. BibTeX entry |
| [2] |
N. Abe and H. Mamitsuka.
Query learning strategies using boosting and bagging.
In Proceedings of the Fifteenth International Conference on
Machine Learning (ICML-98), pages 1-10, 1998. BibTeX entry |
| [3] |
Naoki Abe and Hiroshi Mamitsuka.
Predicting protein secondary structure using stochastic tree
grammars.
Machine Learning, 29:275-301, 1997. BibTeX entry |
| [4] |
Steven Abney, David McAllester, and Fernando Pereira.
Relating probabilistic grammars and automata.
In Proceedings of ACL, pages 542-549, 1999. BibTeX entry, Available here |
| [5] |
Steven Abney.
Statistical methods and linguistics.
In Judith Klavans and Philip Resnik, editors, The Balancing Act:
Combining Symbolic and Statistical Approaches to Language. MIT Press,
Cambridge, MA, 1996. BibTeX entry |
| [6] |
Steven Abney, Robert E. Schapire, and Yoram Singer.
Boosting applied to tagging and PP attachment.
In Proceedings of the Joint SIGDAT Conference on Empirical
Methods in Natural Language Processing and Very Large Corpora, 1999. BibTeX entry |
| [7] |
Harvey Abramson and Veronica Dahl.
Logic Grammars.
Springer Verlag, New York, 1989. BibTeX entry |
| [8] |
Gediminas Adomavicius and Alexander Tuzhilin.
User profiling in personalization applications through rule discovery
and validation.
In Data Mining and Knowledge Discovery, August 1999. BibTeX entry |
| [9] |
Rakesh Agrawal, Roberto Bayardo, and Ramakrishnan Srikant.
Athena: Mining-based interactive management of text databases.
In Proceedings of the Seventh International Conference on
Extending Database Technology (EDBT-2000), Konstanz, Germany, 2000. BibTeX entry |
| [10] |
R. Agrawal, T. Imielinsky, and A. Swami.
Mining association rules between sets of items in large databases.
In Proceedings of the 1993 ACM SIGMOD International Conference
on Management of Data (SIGMOD-93), pages 207-216, 1993. BibTeX entry |
| [11] |
Rakesh Agrawal and Ramakrishnan Srikant.
Fast algorithms for mining association rules.
In Proceedings of the 20th International Conference on Very
Large Databases (VLDB-94), pages 487-499, Santiago, Chile, September 1994. BibTeX entry |
| [12] |
Rakesh Agrawal and Ramakrishnan Srikant.
On integrating catalogs.
In Proceedings of the Tenth International World Wide Web
Conference (WWW-01), pages 603-612, Hong Kong, 2001. BibTeX entry |
| [13] |
David W. Aha.
Feature weighting for lazy learning algorithms.
In H. Liu and H. Motoda, editors, Feature Extraction,
Construction and Selection: A Data Mining Perspective. Kluwer Academic
Publishers, Norwell, MA, 1998. BibTeX entry |
| [14] |
David W. Aha, Leonard Breslow, and Tucker Maney.
Supporting conversational case-based reasoning in an integrated
reasoning framework.
In David W. Aha and Jody J. Daniels, editors, Case-based
reasoning integrations: Papers from the 1998 workshop, Menlo Park, CA, 1998. BibTeX entry |
| [15] |
David W. Aha.
Generalizing from case studies: A case study.
In Proceedings of the Ninth International Conference on Machine
Learning (ICML-92), pages 1-10, Aberdeen, Scotland, July 1992. BibTeX entry |
| [16] |
David W. Aha, Stephane Lapointe, Charles X. Ling, and Stan Matwin.
Learning recursive relations with randomly selected small training
sets.
In Proceedings of the Eleventh International Conference on
Machine Learning (ICML-94), pages 12-18, New Brunswick, NJ, July 1994. BibTeX entry |
| [17] |
David W. Aha, Dennis F. Kibler, and Marc K. Albert.
Instance-based learning algorithms.
Machine Learning, 6(1):37-66, 1991. BibTeX entry |
| [18] |
Woo-Kyoung Ahn, Charles W. Kalish, Douglas L. Medin, and Susan A. Gelman.
The role of covariation versus mechanism information in causal
attribution.
Cognition, 54:299-352, 1995. BibTeX entry |
| [19] |
Woo-Kyoung Ahn, Jeremy N. Bailenson, and Brian Gordon.
Causal attribution as mechanism-based story construction: An
explanation of the conjunction fallacy and discounting principle.
Cognitive Psychology, submitted. BibTeX entry |
| [20] |
Woo-Kyoung Ahn, Raymond J. Mooney, William F. Brewer, and Gerald F. DeJong.
Schema acquisition from one example: Psychological evidence for
explanation-based learning.
In Proceedings of the Ninth Annual Conference of the Cognitive
Science Society, pages 50-57, Seattle, WA, July 1987. BibTeX entry |
| [21] |
Woo-Kyoung Ahn and William F. Brewer.
Similarity-based and explanation-based learning of explanatory and
nonexplanatory information.
In Proceedings of the Tenth Annual Conference of the Cognitive
Science Society, pages 50-57, Montreal, Quebec, August 1988. BibTeX entry |
| [22] |
Woo-Kyoung Ahn, William F. Brewer, and Raymond J. Mooney.
Schema acquisition from a single example.
Journal of Experimental Psychology: Learning, Memory, and
Cognition, 18:391-412, 1992. BibTeX entry |
| [23] |
Alfred V. Aho, John E. Hopcroft, and Jeffrey D. Ullman.
The Design and Analysis of Computer Algorithms.
Addison-Wesley, Reading, MA, 1974. BibTeX entry |
| [24] |
Helena Ahonen, Oskari Heinonen, Mika Klemettinen, and A. Inkeri Verkamo.
Applying data mining techniques for descriptive phrase extraction in
digital document collections.
In Proceedings of the IEEE Forum on Research and Technology
Advances in Digital Libraries, pages 2-11, Santa Barbara, CA, April 1998. BibTeX entry |
| [25] |
Helena Ahonen-Myka, Oskari Heinonen, Mika Klemettinen, and A. Inkeri Verkamo.
Finding co-occurring text phrases by combining sequence and frequent
set discovery.
In Ronen Feldman, editor, Proceedings of the Sixteenth
International Joint Conference on Artificial Intelligence (IJCAI-99) Workshop
on Text Mining: Foundations, Techniques and Applications, pages 1-9,
Stockholm, Sweden, August 1999. BibTeX entry |
| [26] |
Jan Alexandersson et. al.
Dialogue acts in VERBMOBIL-2.
Technical Report 226, DFKI Saarbrücken, 1998. BibTeX entry |
| [27] |
Karmal M. Ali.
Augmenting domain theory for explanation-based generalization.
In Proceedings of the Sixth International Workshop on Machine
Learning, pages 40-42, Ithaca, NY, June 1989. BibTeX entry |
| [28] |
Dean Allemang, Michael C. Tanner, Tom Bylander, and John R. Josephson.
Computational complexity of hypothesis assembly.
In Proceedings of the Tenth International Joint Conference on
Artificial Intelligence (IJCAI-87), pages 1112-1117, Milan, Italy, 1987. BibTeX entry |
| [29] |
James F. Allen and C. Raymond Perrault.
Analyzing intention in utterances.
Artificial Intelligence, 15(3):143-178, 1980. BibTeX entry |
| [30] |
James F. Allen.
Natural Language Understanding.
Benjamin/Cummings, Menlo Park, CA, 1987. BibTeX entry |
| [31] |
James F. Allen.
Natural Language Understanding (2nd Ed.).
Benjamin/Cummings, Menlo Park, CA, 1995. BibTeX entry |
| [32] |
Robert B. Allen.
User models: Method, theory, and practice.
International Journal of Man-Machine Studies, 32:511-543,
1990. BibTeX entry |
| [33] |
James F. Allen, Lenhart K. Schubert, George Ferguson, Peter Heeman, Chung Hee
Hwang, Tsuneaki Kato, Marc Light, Nathaniel Martin, Bradford Miller, Massimo
Poesio, and David R. Traum.
The TRAINS project: a case study in building a conversational
planning agent.
Journal of Experimental and Theoretical Artificial
Intelligence, 7:7-48, 1995. BibTeX entry |
| [34] |
Joshua Alspector, Aleksander Kolcz, and Nachimuthu Karunanithi.
Comparing feature-based and clique-based user models for movie
selection.
In Proceedings of the Third ACM Conference on Digital
Libraries, pages 11-18, Pittsburgh, PA, June 1998. BibTeX entry |
| [35] |
Orly Alter, Patrick O. Brown, and David Botstein.
Singular value decomposition for genome-wide expression data
processing and modeling.
Proceedings of the National Academy of Sciences of the USA,
97(18):10101-10106, 2000. BibTeX entry |
| [36] |
Richard Alterman.
A dictionary based on concept coherence.
Artificial Intelligence, 25(2):153-186, 1985. BibTeX entry |
| [37] |
S.-I. Amari, A. Cichocki, and H.H. Yang.
A new learning algorithm for blind source separation.
In Advances in Neural Information Processing Systems 8, pages
757-763, 1996. BibTeX entry |
| [38] |
Jos'e Luis Ambite and Craig A. Knoblock.
Flexible and scalable query planning in distributed and heterogeneous
environments.
Artificial Intelligence, 118:115-161, 2000. BibTeX entry |
| [39] |
Robert A. Amsler.
A taxonomy for english verbs and nouns.
In Proceedings of the 19th Annual Meeting of the Association for
Computational Linguistics (ACL-81), pages 133-138, Stanford, CA, 1981. BibTeX entry |
| [40] |
Jonathan Amsterdam.
Automated qualitative modeling of dynamic physical systems.
Technical Report 1412, MIT Artificial Intelligence Laboratory, 1993. BibTeX entry |
| [41] |
Rohit Ananthakrishna, Surajit Chaudhuri, and Venkatesh Ganti.
Eliminating fuzzy duplicates in data warehouses.
In Proceedings of the 28th International Conference on Very
Large Databases (VLDB-2002), Hong Kong, China, 2002. BibTeX entry |
| [42] |
John R. Anderson.
The Architecture of Cognition.
Harvard University Press, Cambridge, MA, 1983. BibTeX entry |
| [43] |
John R. Anderson.
Induction of augmented transition networks.
Cognitive Science, 1:125-157, 1977. BibTeX entry |
| [44] |
Anne Anderson, Miles Bader, Ellen Gurman Bard, Elizabeth Boyle, Gwyneth
Doherty, Simon Garrod, Stephen Isard, Jacqueline Kowtko, Jan McAllister, Jim
Miller, Catherine Sotillo, Henry Thompson, and Regina Weinert.
The HCRC map task corpus.
Language and Speech, 34(4):351-366, 1991. BibTeX entry |
| [45] |
John R. Anderson.
Causal analysis and inductive learning.
In Proceedings of the Fourth International Workshop on Machine
Learning, pages 288-299, Irvine, CA, June 1987. BibTeX entry |
| [46] |
Scott Andrews, Brian Kettler, Kuthluhan Erol, and James Hendler.
UM Translog: A planning domain for the development and
benchmarking of planning systems.
Technical Report CS-TR-3487, Institute for Advanced Computer Studies,
University of Maryland, June 1995. BibTeX entry |
| [47] |
Dana Angluin.
Queries and concept learning.
Machine Learning, 2:319-342, 1988. BibTeX entry |
| [48] |
Chinatsu Aone and Scott W. Bennett.
Evaluating automated and manual acquisition of anaphora resolution
strategies.
In Proceedings of the 33rd Annual Meeting of the Association for
Computational Linguistics (ACL-95), pages 122-129, Cambridge, MA, 1995. BibTeX entry |
| [49] |
Shlomo Argamon, Ido Dagan, and Yuval Krymolowski.
A memory-based approach to learning shallow natural language
patterns.
In Proceedings of the 36th Annual Meeting of the Association for
Computational Linguistics and COLING-98 (ACL/COLING-98), pages 67-73,
Montreal, Quebec, 1998. BibTeX entry |
| [50] |
Hal R. Arkes and Allan R. Harkness.
Estimates of contingency between two dichotomous variables.
Journal of Experimental Psychology: General, 112:117-135,
1983. BibTeX entry |
| [51] |
Susan Armstrong, editor.
Using Large Corpora.
MIT Press, Cambridge, MA, 1994. BibTeX entry |
| [52] |
Susan Armstrong-Warwick.
Preface (to the special issue on using large corpora).
Computational Linguistics, 19(1):iii-iv, 1993. BibTeX entry |
| [53] |
Les E. Atlas, R. Cole, J. Conner, Mohamed A. El-Sharkawi, Robert J. Marks,
Yeshwant K. Muthusamy, and E. Bernard.
Performance comparisons between backpropagation networks and
classification trees on three real-world applications.
In David S. Touretzky, editor, Advances in Neural Information
Processing Systems 2. Morgan Kaufmann, San Mateo, CA, 1990. BibTeX entry |
| [54] |
Ricardo Baeza-Yates and Berthier Ribeiro-Neto.
Modern Information Retrieval.
ACM Press, New York, 1999. BibTeX entry |
| [55] |
Paul T. Baffes and Raymond J. Mooney.
A novel application of theory refinement to student modeling.
In Proceedings of the Thirteenth National Conference on
Artificial Intelligence (AAAI-96), pages 403-408, Portland, OR, August
1996. BibTeX entry |
| [56] |
Paul T. Baffes and Raymond J. Mooney.
Using theory revision to model students and acquire stereotypical
errors.
In Proceedings of the Fourteenth Annual Conference of the
Cognitive Science Society, pages 617-622, Bloomington, IN, 1992. BibTeX entry |
| [57] |
Paul T. Baffes and Raymond J. Mooney.
Symbolic revision of theories with M-of-N rules.
In Proceedings of the Thirteenth International Joint Conference
on Artificial Intelligence (IJCAI-93), pages 1135-1140, Chambery, France,
August 1993. BibTeX entry |
| [58] |
Paul T. Baffes and Raymond J. Mooney.
Extending theory refinement to M-of-N rules.
Informatica, 17:387-397, 1993. BibTeX entry |
| [59] |
Paul T. Baffes and Raymond J. Mooney.
Refinement-based student modeling and automated bug library
construction.
Journal of Artificial Intelligence in Education, 7(1):75-116,
1996. BibTeX entry |
| [60] |
Paul T. Baffes.
Automatic Student Modeling and Bug Library Construction using
Theory Refinement.
PhD thesis, Department of Computer Sciences, University of Texas,
Austin, TX, August 1994. BibTeX entry |
| [61] |
L. Bahl, P. F. Brown, P. V. de Souza, and K. L. Mercer.
Maximum mutual information estimation of hidden markov parameters for
speech recognition.
In Proceedings of IEEE ICASSP '86, pages 49-52, 1986. BibTeX entry |
| [62] |
Lalit R. Bahl and Frederick Jelinek.
Decoding for channels with insertions, deletions, and substitutions
with applications to speech recognition.
IEEE Transactions on Information Theory, 21(4):404-411, July
1975. BibTeX entry |
| [63] |
Lalit R. Bahl and Robert L. Mercer.
Part of speech assignment by a statistical decision algorithm.
In Abstracts of Papers from the IEEE International Symposium on
Information Theory, pages 88-89, 1976. BibTeX entry |
| [64] |
Lalit R. Bahl, Frederick Jelinek, and Robert L. Mercer.
A maximum likelihood approach to continuous speech recognition.
IEEE Transactions on Pattern Analysis and Machine Intelligence,
5(2):179-190, 1983. BibTeX entry |
| [65] |
David R. Bailey.
When Push Comes to Shove: A Computational Model of the Role of
Motor Control in the Acquisition of Action Verbs.
PhD thesis, University of California at Berkeley, Berkeley, CA,
October 1997. BibTeX entry |
| [66] |
Renee Baillargeon.
The object concept revisited: New directions in the investigation of
infants' physical knowledge.
In Carl E. Granrud, editor, Visual perception and cognition in
infancy, pages 265-315. Lawrence Erlbaum and Associates, Hillsdale, NJ,
1993. BibTeX entry |
| [67] |
Michael Bain and Stephen Muggleton.
Non-monotonic learning.
In Stephen Muggleton, editor, Inductive Logic Programming,
pages 145-162. Academic Press, New York, NY, 1992. BibTeX entry |
| [68] |
Michael Bain.
Experiments in non-monotonic first-order induction.
In Stephen Muggleton, editor, Inductive Logic Programming,
pages 423-435. Academic Press, New York, NY, 1992. BibTeX entry |
| [69] |
Sharon L. Baker.
Laying a firm foundation: Administrative support for readers'
advisory services.
Collection Building, 12(3-4):13-18, 1993. BibTeX entry |
| [70] |
Marko Balabanovic and Yoav Shoham.
Fab: Content-based, collaborative recommendation.
Communications of the Association for Computing Machinery,
40(3):66-72, 1997. BibTeX entry |
| [71] |
Dare A. Baldwin and Ellen M. Markman.
Establishing word-object relations: A first step.
Child Development, 60:381-398, 1989. BibTeX entry |
| [72] |
Dare A. Baldwin.
Infants' contribution to the achievement of joint reference.
Child Development, 63:875-890, 1991. BibTeX entry |
| [73] |
A. Banerjee, I. Dhillon, J. Ghosh, and S. Sra.
Generative model-based clustering of directional data.
In Proceedings of the Ninth ACM SIGKDD International Conference
on Knowledge Discovery and Data Mining (KDD-2003), pages 19-28, Washington,
DC, 2003. BibTeX entry |
| [74] |
Arindam Banerjee.
Large scale clustering of sequential patterns.
Doctoral Dissertation Proposal, University of Texas at Austin, 2001. BibTeX entry |
| [75] |
Arindam Banerjee and Joydeep Ghosh.
On scaling up balanced clustering algorithms.
In Proceedings of the SIAM International Conference on Data
Mining, pages 333-349, 2002. BibTeX entry |
| [76] |
Arindam Banerjee, Srujana Merugu, Inderjit S. Dhillon, and Joydeep Ghosh.
Clustering with Bregman divergences.
In Proceedings of the 2004 SIAM International Conference on
Data Mining (SDM-04), Lake Buena Vista, FL, 2004. BibTeX entry |
| [77] |
A. Banerjee, I. Dhillon, J. Ghosh, and S. Sra.
Expectation maximization for clustering on hyperspheres.
Technical Report TR-03-07, Department of Computer Sciences,
University of Texas at Austin, 2003. BibTeX entry |
| [78] |
Raran B. Banerji.
Learning theoretical terms.
In Stephen Muggleton, editor, Inductive Logic Programming,
pages 93-110. Academic Press, New York, NY, 1992. BibTeX entry |
| [79] |
Nikhil Bansal, Avrim Blum, and Shuchi Chawla.
Correlation clustering.
In Proceedings of the 43rd IEEE Symposium on Foundations of
Computer Science (FOCS-02), pages 238-247, 2002. BibTeX entry |
| [80] |
Yehoshua Bar-Hillel.
Language and Information.
Addison-Wesley, Reading, Mass., 1964. BibTeX entry |
| [81] |
Aharon Bar-Hillel, Tomer Hertz, Noam Shental, and Daphna Weinshall.
Learning distance functions using equivalence relations.
In Proceedings of 20th International Conference on Machine
Learning (ICML-2003), pages 11-18, Washington, DC, 2003. BibTeX entry |
| [82] |
Ray Bareiss, Bruce W. Porter, and Kenneth S. Murray.
Supporting start-to-finish development of knowledge bases.
Machine Learning, 4(3/4):259-284, 1989. BibTeX entry |
| [83] |
Michael Barès, Dolores Ca namero, Jean-Francois Delannoy, and Yves
Kodratoff.
XPlans: Case-based reasoning for plan recognition.
Applied Artificial Intelligence, 4(8):617-643, 1994. BibTeX entry |
| [84] |
Anthony Barrett and Daniel S. Weld.
Partial order planning: Evaluating possible efficiency gains.
Artificial Intelligence, 67:71-112, 1994. BibTeX entry |
| [85] |
Anthony Barrett, Keith Golden, Scott Penberthy, and Daniel Weld.
UCPOP: User's manual (version 2.0).
Technical Report 93-09-06, Department of Computer Science and
Engineering, University of Washington, October 1993. BibTeX entry |
| [86] |
Anthony Barrett and et al.
UCPOP: User's manual (version 4.0).
Technical Report 93-09-06d, Department of Computer Science and
Engineering, University of Washington, November 1995. BibTeX entry |
| [87] |
David R. Barstow.
Artificial intelligence and software engineering.
In Howard E. Shrobe, editor, Exploring Artificial Intelligence.
Morgan Kaufmann, San Mateo, CA, 1988. BibTeX entry |
| [88] |
Roberto Basili, Maria Teresa Pazienza, and Paola Velardi.
An empirical symbolic approach to natural language processing.
Artificial Intelligence, 85:59-99, 1996. BibTeX entry |
| [89] |
Chumki Basu, Haym Hirsh, and William W. Cohen.
Recommendation as classification: Using social and content-based
information in recommendation.
In Proceedings of the Fifteenth National Conference on
Artificial Intelligence (AAAI-98), pages 714-720, Madison, WI, July 1998. BibTeX entry |
| [90] |
C. Basu, H. Hirsh, W. W. Cohen, and C. Nevill-Manning.
Recommending papers by mining the web.
In Working Notes of the Workshop on Machine Learning for
Information Filtering, Sixteenth International Joint Conference on Artificial
Intelligence, Stockholm, 2000. BibTeX entry |
| [91] |
S. Basu, R. J. Mooney, K. V. Pasupuleti, and J. Ghosh.
Evaluating the novelty of text-mined rules using lexical knowledge.
In Proceedings of the Seventh ACM SIGKDD International
Conference on Knowledge Discovery and Data Mining (KDD-2001), pages
233-239, San Francisco, CA, 2001. BibTeX entry |
| [92] |
S. Basu, A. Banerjee, and R. J. Mooney.
Semi-supervised clustering by seeding.
In Proceedings of 19th International Conference on Machine
Learning (ICML-2002), pages 19-26, 2002. BibTeX entry |
| [93] |
Sugato Basu, Mikhail Bilenko, and Raymond J. Mooney.
Comparing and unifying search-based and similarity-based approaches
to semi-supervised clustering.
In Proceedings of the ICML-2003 Workshop on the Continuum from
Labeled to Unlabeled Data in Machine Learning and Data Mining, pages 42-49,
Washington, DC, 2003. BibTeX entry |
| [94] |
S. Basu, A. Banerjee, and R. J. Mooney.
Active semi-supervision for pairwise constrained clustering.
In SIAM International Conference on Data Mining, April 2004.
to appear. BibTeX entry |
| [95] |
S. Basu, R. J. Mooney, K. V. Pasupuleti, and J. Ghosh.
Using lexical knowledge to evaluate the novelty of rules mined from
text.
In Proceedings of the NAACL Workshop on WordNet and Other
Lexical Resources: Applications, Extensions and Customizations, pages
144-149, Pittsburgh, PA, 2001. BibTeX entry |
| [96] |
Madeleine Bates.
The theory and practise of augmented transition networks.
In L. Bloc, editor, Natural Language Communication with
Computers. Springer Verlag, New York, 1978. BibTeX entry |
| [97] |
G. Batista and M. C. Monard.
An analysis of four missing data treatment methods for supervised
learning.
Applied Artificial Intelligence, 17:519-533, 2003. BibTeX entry |
| [98] |
Alexis Battle, Eran Segal, and Daphne Koller.
robabilistic discovery of overlapping cellular processes and their
regulation using gene expression data.
In Proceedings of the Eighth International Conference on
Research in Computational Molecular Biology (RECOMB-2004), to appear. BibTeX entry |
| [99] |
E. Bauer and R. Kohavi.
An empirical comparison of voting classification algorithms: Bagging,
boosting and variants.
Machine Learning, 36, 1999. BibTeX entry |
| [100] |
Jonathan Baxter.
The canonical distortion measure for vector quantization and function
approximation.
In Proceedings of the Fourteenth International Conference on
Machine Learning (ICML-97), pages 39-47, San Francisco, CA, 1997. BibTeX entry |
| [101] |
S. Bay.
UCI KDD archive.
Department of Information and Computer Sciences, University of
California, Irvine, 2000.
http://kdd.ics.uci.edu/. BibTeX entry |
| [102] |
Roberto J. Bayardo Jr. and Rakesh Agrawal.
Mining the most interesting rules.
In Proceedings of the Fifth International Conference on
Knowledge Discovery and Data Mining (KDD-99), pages 145-154, San Diego, CA,
August 1999. BibTeX entry |
| [103] |
Richard Beckwith, Christiane Fellbaum, Derek Gross, and Katherine J. Miller.
WordNet: A lexical database organized on psycholinguistic
principles.
In Uri Zernik, editor, Lexical Acquisition: Exploiting On-Line
Resources to Build a Lexicon, pages 211-232. Lawrence Erlbaum and
Associates, Hillsdale, NJ, 1991. BibTeX entry |
| [104] |
Doug Beeferman, Adam Berger, and John D. Lafferty.
Statistical models for text segmentation.
Machine Learning, 34:177-210, 1999. BibTeX entry |
| [105] |
Ingo A. Beinlich, H. Jaap Suermondt, R. Marty Chavez, and Greg F. Cooper.
The ALARM monitoring system: A case study with two probabilistic
inference techniques for belief networks.
In Proceedings of the Second European Conference on Artificial
Intelligence in Medicine, pages 247-256, London, England, 1989. BibTeX entry |
| [106] |
Ron Bekkerman, Ran El-Yaniv, Naftali Tishbi, and Yoad Winter.
On feature distributional clustering for text categorization.
In Proceedings of 24th International ACM SIGIR Conference on
Research and Development in Information Retrieval, 2001. BibTeX entry |
| [107] |
Thomas R. Belin and Donald B. Rubin.
A method for calibrating false-match rates in record linkage.
Journal of the American Statistical Association,
90(430):694-707, 1995. BibTeX entry |
| [108] |
A. Ben-Dor, R. Shamir, and Z. Yakhini.
Clustering gene expression patterns.
Journal of Computational Biology, 6(3/4):281-297, 1999. BibTeX entry |
| [109] |
Scott W. Bennett, Chinatsu Aone, and Craig Lovell.
Learning to tag multilingual texts through observation.
In Proceedings of the Second Conference on Empirical Methods in
Natural Language Processing (EMNLP-97), pages 109-116, Providence, RI,
1997. BibTeX entry |
| [110] |
K. Bennett, A. Demiriz, and R. Maclin.
Exploiting unlabeled data in ensemble methods.
In Proceedings of the Eighth ACM SIGKDD Internation Conference
on Knowledge Discovery and Data Mining, pages 289-296, Edmonton, Alberta,
Canada, 2002. BibTeX entry |
| [111] |
K. Bennett and A. Demiriz.
Semi-supervised support vector machines.
Advances in Neural Information Processing Systems, 11:368-374,
1999. BibTeX entry |
| [112] |
Paul N. Bennett.
Using asymmetric distributions to improve text classifier probability
estimates.
In Proceedings of the 26th Annual International ACM SIGIR
Conference on Research and Development in Information Retrieval, Toronto,
Canada, 2003. ACM Press. BibTeX entry |
| [113] |
Hamid R. Berenji.
Refinement of approximate reasoning-based controllers by
reinforcement learning.
In Proceedings of the Eighth International Workshop on Machine
Learning, pages 475-479, Evanston, IL, June 1990. BibTeX entry |
| [114] |
Francesco Bergadano and Danielle Gunetti.
Inductive Logic Programming: From Machine Learning to Software
Engineering.
MIT Press, Cambridge, Mass., 1995. BibTeX entry |
| [115] |
Francesco Bergadano and Danielle Gunetti.
An interactive system to learn functional logic programs.
In Proceedings of the Thirteenth International Joint Conference
on Artificial Intelligence (IJCAI-93), pages 1044-1049, Chambery, France,
1993. BibTeX entry |
| [116] |
Francesco Bergadano, Danielle Gunetti, and Umberto Trinchero.
The difficulties of learning logic programs with cut.
Journal of Artificial Intelligence Research, 1:91-107, 1993. BibTeX entry |
| [117] |
Francesco Bergadano and Attilio Giordana.
A knowledge intensive approach to concept induction.
In Proceedings of the Fifth International Conference on Machine
Learning (ICML-88), pages 305-317, Ann Arbor, MI, June 1988. BibTeX entry |
| [118] |
Francesco Bergadano, Attilio Giordana, and S. Ponsero.
Deduction in top-down inductive learning.
In Proceedings of the Sixth International Workshop on Machine
Learning, pages 23-25, Ithaca, NY, June 1989. BibTeX entry |
| [119] |
Francesco Bergadano, Attilio Giodana, Lorenza Saitta, Davide De Marchi, and
Filippo Brancadori.
Integrated learning in a real domain.
In Proceedings of the Seventh International Conference on
Machine Learning (ICML-90), pages 322-328, Austin, TX, June 1990. BibTeX entry |
| [120] |
Adam Berger and et al.
The Candide system for machine translation.
In Proceedings of ARPA Workshop on Human Language Technologies,
1994. BibTeX entry |
| [121] |
Adam L. Berger, Stephen A. Della Pietra, and Vincent J. Della Pietra.
A maximum entropy approach to natural language processing.
Computational Linguistics, 22(1):39-71, 1996. BibTeX entry |
| [122] |
Adam Berger and Vibhu O. Mittal.
Ocelot: A system for summarizing web pages.
In Proceedings of 23rd International ACM SIGIR Conference on
Research and Development in Information Retrieval, pages 144-151, Athens,
Greece, July 2000. BibTeX entry |
| [123] |
T. Berners-Lee, J. Hendler, and O. Lassila.
The Semantic Web, May 2001.
Scientific American. BibTeX entry |
| [124] |
M. Berry.
Large scale singular value computations.
International Journal of Supercomputer Applications,
6(1):13-49, 1992. BibTeX entry |
| [125] |
Michael W. Berry, editor.
Proceedings of the Third SIAM International Conference on Data
Mining(SDM-2003) Workshop on Text Mining, San Francisco, CA, May 2003. BibTeX entry |
| [126] |
Robert C. Berwick.
The Acquisition of Syntactic Knowledge.
MIT Press, Cambridge, MA, 1985. BibTeX entry |
| [127] |
Robert C. Berwick.
Learning word meanings from examples.
In Proceedings of the Eighth International Joint Conference on
Artificial Intelligence (IJCAI-83), pages 459-461, Karlsruhe, West Germany,
1983. BibTeX entry |
| [128] |
Robert C. Berwick and Samuel F. Pilato.
Learning syntax by automata induction.
Machine Learning, 2(1):9-38, 1987. BibTeX entry |
| [129] |
Julian Besag.
On the statistical analysis of dirty pictures.
Journal of the Royal Statistical Society, Series B
(Methodological), 48(3):259-302, 1986. BibTeX entry |
| [130] |
Neeraj Bhatnagar and Jack Mostow.
On-line learning from search failure.
Machine Learning, 15:69-117, 1994. BibTeX entry |
| [131] |
Ann Bies, Mark Ferguson, Karen Katz, and Robert MacIntyre.
Bracketing Guidelines for Treebank II Style Penn Treebank
Project.
University of Pennsylvania, January 1995. BibTeX entry |
| [132] |
Daniel M. Bikel, Richard Schwartz, and Ralph M. Weischedel.
An algorithm that learns what's in a name.
Machine Learning, 34:211-232, 1999. BibTeX entry |
| [133] |
Mikhail Bilenko, Raymond Mooney, William Cohen, Pradeep Ravikumar, and Stephen
Fienberg.
Adaptive name matching in information integration.
IEEE Intelligent Systems, 18(5):16-23, 2003. BibTeX entry |
| [134] |
Mikhail Bilenko and Raymond J. Mooney.
Employing trainable string similarity metrics for information
integration.
In Proceedings of the IJCAI-03 Workshop on Information
Integration on the Web, pages 67-72, Acapulco, Mexico, August 2003. BibTeX entry |
| [135] |
Mikhail Bilenko and Raymond J. Mooney.
Adaptive duplicate detection using learnable string similarity
measures.
In Proceedings of the Ninth ACM SIGKDD International Conference
on Knowledge Discovery and Data Mining (KDD-2003), pages 39-48, Washington,
DC, August 2003. BibTeX entry |
| [136] |
Mikhail Bilenko and Raymond J. Mooney.
On evaluation and training-set construction for duplicate detection.
In Proceedings of the KDD-03 Workshop on Data Cleaning, Record
Linkage, and Object Consolidation, pages 7-12, Washington, DC, August 2003. BibTeX entry |
| [137] |
Mikhail Bilenko.
Learnable similarity functions and their applications to record
linkage and clustering.
Doctoral Dissertation Proposal, University of Texas at Austin, 2003. BibTeX entry |
| [138] |
Mikhail Bilenko, Sugato Basu, and Raymond J. Mooney.
Integrating constraints and metric learning in semi-supervised
clustering.
Submitted for publication, 2004. BibTeX entry |
| [139] |
Mikhail Bilenko and Raymond J. Mooney.
Learning to combine trained distance metrics for duplicate detection
in databases.
Technical Report AI 02-296, Artificial Intelligence Laboratory,
University of Texas at Austin, Austin, TX, February 2002. BibTeX entry |
| [140] |
Daniel Billsus and Michael Pazzani.
A personal news agent that talks, learns and explains.
In Proceedings of the Third International Conference on
Autonomous Agents (Agents-99), Seattle, WA, 1999. BibTeX entry |
| [141] |
Daniel Billsus and Michael J. Pazzani.
Learning collaborative information filters.
In Proceedings of the Fifteenth International Conference on
Machine Learning (ICML-98), pages 46-54, Madison, WI, 1998. Morgan
Kaufmann. BibTeX entry |
| [142] |
Daniel Billsus and Michael Pazzani.
Revising user profiles: The search for interesting web sites.
In Proceedings of the Third International Workshop on
Multistrategy Learning, pages 239-250, Harper's Ferry, W.Va., May 1996. BibTeX entry |
| [143] |
Jeff Bilmes.
A gentle tutorial on the EM algorithm and its application to
parameter estimation for Gaussian mixture and hidden Markov models.
Technical Report ICSI-TR-97-021, ICSI, 1997. BibTeX entry |
| [144] |
Lawrence A. Birnbaum and Gregg C. Collins, editors.
Proceedings of the Eighth International Workshop on Machine
Learning: Section on Learning From Theory and Data, Evanston, IL, June 1991. BibTeX entry |
| [145] |
Christopher M. Bishop.
Neural Networks for Pattern Recogntion.
Oxford University Press, 1995. BibTeX entry |
| [146] |
Ezra Black, John D. Lafferty, and Salim Roukos.
Development and evaluation of a broad-coverage probabilistic grammar
of English-language computer manuals.
In Proceedings of the 30th Annual Meeting of the Association for
Computational Linguistics (ACL-92), pages 185-192, Newark, Delaware, 1992. BibTeX entry |
| [147] |
Ezra Black, Frederick Jelineck, John Lafferty, David M. Magerman, Robert L.
Mercer, and Salim Roukos.
Towards history-based grammars: Using richer models for probabilistic
parsing.
In Proceedings of the 31st Annual Meeting of the Association for
Computational Linguistics (ACL-93), pages 31-37, Columbus, Ohio, 1993. BibTeX entry |
| [148] |
Ezra Black and et al.
A procedure for quantitatively comparing the syntactic coverage of
English grammars.
In Proceedings of the Fourth DARPA Speech and Natural Language
Workshop, pages 306-311, 1991. BibTeX entry |
| [149] |
Catherine Blake and Wanda Pratt.
Better rules, fewer features: A semantic approach to selecting
features from text.
In Working Notes of the 2001 IEEE International Conference on
Data Mining (ICDM-2001) Workshop on Text Mining (TextDM'2001), San Jose, CA,
November 2001. BibTeX entry |
| [150] |
C. L. Blake and C. J. Merz.
UCI repository of machine learning databases.
http://www.ics.uci.edu/mlearn/MLRepository.html,
1998. BibTeX entry |
| [151] |
C. Blaschke and A. Valencia.
Can bibliographic pointers for known biological data be found
automatically? protein interactions as a case study.
Comparative and Functional Genomics, 2:196-206, 2001. BibTeX entry |
| [152] |
C. Blaschke and A. Valencia.
The frame-based module of the Suiseki information extraction
system.
IEEE Intelligent Systems, 17:14-20, 2002. BibTeX entry |
| [153] |
Henrik Blockeel and Luc deRaedt.
Relational knowledge discovery in databases.
In Proceedings of the Sixth International Workshop on Inductive
Logic Programming (ILP-96), pages 1-13, 1996. BibTeX entry |
| [154] |
Paul Bloom.
Overview: Controversies in language acquisition.
In Paul Bloom, editor, Language Acquisition: Core Readings,
pages 5-48. MIT Press, Cambridge, MA, 1994. BibTeX entry |
| [155] |
P. Bloom.
How Children Learn the Meanings of Words.
MIT Press, Cambridge, MA, 2000. BibTeX entry |
| [156] |
A. L. Blum and P. Langley.
Selection of relevant features and examples in machine learning.
Artificial Intelligence, 97:245-271, 1997. BibTeX entry |
| [157] |
Avrim Blum and Tom Mitchell.
Combining labeled and unlabeled data with co-training.
In Proceedings of the 11th Annual Conference on Computational
Learning Theory, pages 92-100, Madison, WI, 1998. BibTeX entry |
| [158] |
Avrim Blumer, Andrzej Ehrenfeucht, David Haussler, and Manfred K. Warmuth.
Occam's razor.
Information Processing Letters, 24:377-380, 1987. BibTeX entry |
| [159] |
J. Bockhorst and M. Craven.
Exploiting relations among concepts to acquire weakly labeled
training data.
In Proceedings of 19th International Conference on Machine
Learning (ICML-2002), pages 19-26, 2002. BibTeX entry |
| [160] |
Rens Bod.
Using an annotated language corpus as a virtual stochastic grammar.
In Proceedings of the Eleventh National Conference on Artificial
Intelligence (AAAI-93), pages 778-783, 1993. BibTeX entry |
| [161] |
Bran Boguraev and Ted Briscoe, editors.
Computational lexicography for natural language processing.
Longman, London, 1989. BibTeX entry |
| [162] |
Kurt D. Bollacker and Joydeep Ghosh.
A supra-classifier architecture for scalable knowledge reuse.
In Proceedings of the Fifteenth International Conference on
Machine Learning (ICML-98), pages 64-72, Madison, WI, 1998. Morgan
Kaufmann. BibTeX entry |
| [163] |
John D. Bonvillian, Michael D. Orlansky, and Lesley L. Novack.
Developmental milestones: Sign language acquisition and motor
development.
Child Development, 54:1435-1445, 1983. BibTeX entry |
| [164] |
Ingwer Borg and Patrick Groenen.
Modern Multidimensional Scaling: Theory and Applications.
Springer Verlag, 1997. BibTeX entry |
| [165] |
Christian Borgelt.
Apriori version 2.6.
http://fuzzy.cs.UniMagdeburg.de/borgelt/, 2000. BibTeX entry |
| [166] |
Borland International.
Turbo Prolog 2.0 Reference Guide.
Borland International, Scotts Valley, CA, 1988. BibTeX entry |
| [167] |
Daniel Borrajo and Manuela Veloso.
Incremental learning of control knowledge for nonlinear problem
solving.
In Proceedings of the European Conference on Machine Learning
(ECML-94), pages 64-82, Springer Verlag, 1994. BibTeX entry |
| [168] |
Daniel Borrajo and Manuela Veloso.
Incremental learning of control knowledge for improvement of planning
efficiency and plan quality.
In AAAI-94 Fall Symposium on Planning and Learning, pages 5-9,
New Orleans, LA, October 1994. BibTeX entry |
| [169] |
K. Bousson, L. Zimmer, and L. Travé-Massuyès.
Causal model-based diagnosis of dynamic systems.
In Fifth International Workshop on Principles of Diagnosis,
pages 34-41, New Paltz, NY, 1994. BibTeX entry |
| [170] |
Melissa Bowerman.
Learning a semantic system: What role do cognitive predispositions
play.
In Paul Bloom, editor, Language Acquisition: Core Readings,
pages 329-363. MIT Press, Cambridge, MA, 1994. BibTeX entry |
| [171] |
Yuri Boykov, Olga Veksler, and Ramin Zabih.
Markov random fields with efficient approximations.
In Proceedings of IEEE Computer Vision and Pattern Recognition
Conference (CVPR-98), pages 648-655, 1998. BibTeX entry |
| [172] |
P. S. Bradley, O. L. Mangasarian, and W. N. Street.
Clustering via concave minimization.
In Michael C. Mozer, Michael I. Jordan, and Thomas Petsche, editors,
Advances in Neural Information Processing Systems 9, pages 368-374.
The MIT Press, 1997. BibTeX entry |
| [173] |
P. S. Bradley, K. P. Bennett, and A. Demiriz.
Constrained K-means clustering.
Technical Report MSR-TR-2000-65, Microsoft Research, May 2000. BibTeX entry |
| [174] |
Paul S. Bradley, Usama M. Fayyad, and Cory A. Reina.
Scaling EM (Expectation-Maximization) clustering to large
databases.
Technical Report MSR-TR-98-35, Microsoft Research, 1998. BibTeX entry |
| [175] |
Ivan Bratko.
Prolog Programming for Artificial Intelligence.
Addison-Wesley, Reading:MA, 1990. BibTeX entry |
| [176] |
Ivan Bratko and Stephen Muggleton.
Applications of inductive logic programming.
Communications of the Association for Computing Machinery,
38(11):65-70, 1995. BibTeX entry |
| [177] |
Ivan Bratko, Stephen Muggleton, and Alen Varsek.
Learning qualitative models of dynamic systems.
In Proceedings of the Eighth International Workshop on Machine
Learning, pages 385-388, Evanston, IL, June 1991. BibTeX entry |
| [178] |
Wesley Braudaway and Chris Tong.
Automatic synthesis of constrained generators.
In Proceedings of the Eleventh International Joint Conference on
Artificial Intelligence (IJCAI-89), Detroit, MI, 1989. BibTeX entry |
| [179] |
Tim Bray, Jean Paoli, C. M. Sperberg-McQueen, and Eve Maler.
EXtensible Markup Language (XML) 1.0 (second edition).
http://www.w3.org/TR/2000/REC-xml-20001006, October 2000. BibTeX entry |
| [180] |
Chris Bregler.
learning and recognizing human dynamics in video sequences.
In Proceedings of IEEE Conference on Computer vision and
Pattern recognition, San Juan, Puerto Rico, 1997. BibTeX entry |
| [181] |
Leo Breiman, Jerome H. Friedman, Richard Olshen, and Charles Stone.
Classification and Regression Trees.
Wadsworth and Brooks, Monterey, CA, 1984. BibTeX entry |
| [182] |
Leo Breiman.
Random forests.
Machine Learning, 45(1):5-32, 2001. BibTeX entry |
| [183] |
Leo Breiman.
Bagging predictors.
Machine Learning, 24(2):123-140, 1996. BibTeX entry |
| [184] |
Leo Breiman, 1996.
Neural Information Processing Systems Workshop. BibTeX entry |
| [185] |
Michael Brent.
Automatic acquisition of subcategorization frames from untagged text.
In Proceedings of the 29th Annual Meeting of the Association for
Computational Linguistics (ACL-91), pages 209-214, 1991. BibTeX entry |
| [186] |
Michael Brent.
Advances in the computational study of language acquisition.
Cognition, 61(1):1-38, 1996. BibTeX entry |
| [187] |
Michael R. Brent and Timothy A. Cartwright.
Distributional regularity and phonotactic constraints are useful for
segmentation.
Cognition, 61(1):93-125, 1996. BibTeX entry |
| [188] |
Michael Brent.
Semantic classification of verbs from their syntactic contexts:
Automated lexicography with implications for child language acquisition.
In Proceedings of the Twelfth Annual Conference of the Cognitive
Science Society, pages 428-437, 1990. BibTeX entry |
| [189] |
Michael Brent.
An efficient, probabilistically sound algorithm for segmentation and
word discovery.
Machine Learning, 34:71-106, 1999. BibTeX entry |
| [190] |
John Bresina, Mark Drummond, and Smadar Kedar.
Reactive, integrated systems pose new problems for machine learning.
In Steven Minton, editor, Machine Learning Methods for
Planning. Morgan Kaufmann, San Mateo, CA, 1993. BibTeX entry |
| [191] |
Eric Brill.
Some advances in rule-based part of speech tagging.
In Proceedings of the Twelfth National Conference on Artificial
Intelligence (AAAI-94), pages 722-727, Seattle, WA, 1994. BibTeX entry |
| [192] |
Eric Brill.
Automatic grammar induction and parsing free text: A
transformation-based approach.
In Proceedings of the 31st Annual Meeting of the Association for
Computational Linguistics (ACL-93), pages 259-265, Columbus, Ohio, 1993. BibTeX entry |
| [193] |
Eric Brill and Raymond J. Mooney.
An overview of empirical natural language processing.
AI Magazine, 18(4):13-24, 1997. BibTeX entry |
| [194] |
Eric Brill and Phillip Resnik.
A transformation-based approach to prepositional phrase attachment
disambiguation.
In Proceedings of the Fifteenth International Conference on
Computational Linguistics, Kyoto, Japan, 1994. BibTeX entry |
| [195] |
Eric Brill.
Transformation-based error-driven learning and natural language
processing: A case study in part-of-speech tagging.
Computational Linguistics, 21(4):543-565, 1995. BibTeX entry |
| [196] |
Eric Brill and K. Church, editors.
Proceedings of the Conference on Empirical Methods in Natural
Language Processing (EMNLP-96).
University of Pennsylvania, Philadelphia, PA, 1996. BibTeX entry |
| [197] |
Sergey Brin.
Extracting patterns and relations from the World-Wide Web.
In Paolo Atzeni, Alberto O. Mendelzon, and Giansalvatore Mecca,
editors, Proceedings of the International Workshop on the World Wide Web
and Databases (WebDB-1998), Selected Paper, pages 172-183, Valencia, Spain,
March 1998. Springer Verlag.
Lecture Notes in Computer Science, Vol. 1590. BibTeX entry |
| [198] |
Klaus Brinker.
Incorporating diversity in active learning with support vector
machines.
In Machine Learning, Proceedings of the Twentieth International
Conference (ICML 2003), August 21-24, 2003, Washington, DC, USA, pages
59-66. AAAI Press, 2003. BibTeX entry |
| [199] |
Ted Briscoe and John Carroll.
Generalized probabilistic LR parsing of natural language (corpora)
with unification-based grammars.
Computational Linguistics, 19(1):25-59, 1993. BibTeX entry |
| [200] |
D. S. Broomhead and D. Lowe.
Multivariable functional interpolation and adaptive networks.
Complex Systems, 2:321-355, 1988. BibTeX entry |
| [201] |
P. Brown, S. Della-Pietra, V. Della-Pietra, and R. Mercer.
Word sense disambiguation using statistical methods.
In Proceedings of the 29th Annual Meeting of the Association for
Computational Linguistics (ACL-91), pages 264-270, 1991. BibTeX entry |
| [202] |
J. S. Brown and R. R. Burton.
Multiple representations of knowledge for tutorial reasoning.
In D. G. Bobrow and A. Collins, editors, Representation and
Understanding. Academic Press, New York, 1975. BibTeX entry |
| [203] |
J. S. Brown and R. R. Burton.
Diagnostic models for procedural bugs in basic mathematical skills.
Cognitive Science, 2:155-192, 1978. BibTeX entry |
| [204] |
J. S. Brown and K. VanLehn.
Repair theory: a generative theory of bugs in procedural skills.
Cognitive Science, 4:379-426, 1980. BibTeX entry |
| [205] |
P. Brown and et al.
A statistical approach to machine translation.
Computational Linguistics, 16(2):79-85, 1990. BibTeX entry |
| [206] |
P. Brown, V. Della Pietra, P. deSouza, J. Lai, and R. Mercer.
Class based n-gram models of natural language.
Computational Linguistics, 18(4):467-479, 1992. BibTeX entry |
| [207] |
Gavin Brown and Jeremy L. Wyatt.
The Use of the Ambiguity Decomposition in Neural Network
Ensemble Learning Methods.
In Tom Fawcett and Nina Mishra, editors, 20th International
Conference on Machine Learning (ICML'03), Washington DC, USA, August
2003. BibTeX entry |
| [208] |
J. S. Bruner, J. J. Goodnow, and G. A. Austin.
A Study of Thinking.
Wiley, New York, NY, 1956. BibTeX entry |
| [209] |
Clifford Brunk and Michael Pazzani.
A lexically based semantic bias for theory revision.
In Proceedings of the Twelfth International Conference on
Machine Learning (ICML-95), pages 81-89, San Francisco, CA, 1995. Morgan
Kaufmann. BibTeX entry |
| [210] |
Clifford A. Brunk.
An Investigation of Knowledge Intensive Approaches to Concept
Learning and Theory Refinement.
PhD thesis, Department of Information and Computer Science,
University of California, Irvine, CA, 1996. BibTeX entry |
| [211] |
Maurice Bruynooghe, Danny De Schreye, and Bruno Krekels.
Compiling control.
Journal of Logic Programming, 6:135-243, 1989. BibTeX entry |
| [212] |
G. G. Buchanan and E. H. Shortliffe, editors.
Rule-Based Expert Systems:The MYCIN Experiments of the
Stanford Heuristic Programming Project.
Addison-Wesley, Reading, MA, 1984. BibTeX entry |
| [213] |
Joachim M. Buhmann and Thomas Zöller.
Active learning for hierarchical pairwise data clustering.
In ICPR, pages 2186-2189, 2000. BibTeX entry, Available here |
| [214] |
M. Bullock, R. Gelman, and R. Baillargeon.
The development of causal reasoning.
In W. J. Friedman, editor, The developmental psychology of
time, pages 209-254. Academic Press, San Diego, CA, 1982. BibTeX entry |
| [215] |
Razvan Bunescu, Ruifang Ge, Rohit J. Kate, Edward M. Marcotte, Raymond J.
Mooney, Arun Kumar Ramani, and Yuk Wah Wong.
Learning to extract proteins and their interactions from Medline
abstracts.
Artificial Intelligence in Medicine, submitted 2002. BibTeX entry |
| [216] |
Razvan Bunescu, Ruifang Ge, Rohit J. Kate, Edward M. Marcotte, Raymond J.
Mooney, Arun Kumar Ramani, and Yuk Wah Wong.
Comparative experiments on learning information extractors for
proteins and their interactions.
Special Issue in the Journal Artificial Intelligence in Medicine
on Summarization and Information Extraction from Medical Documents, 2004.
To appear. BibTeX entry |
| [217] |
Razvan Bunescu.
Associative anaphora resolution: A web-based approach.
In Proceedings of the EACL-2003 Workshop on the Computational
Treatment of Anaphora, pages 47-52, Budapest, Hungary, 2003. BibTeX entry |
| [218] |
R. Bunescu, R. Ge, R. J. Kate, E. M. Marcotte, R. J. Mooney, A. K. Ramani, and
Y. W. Wong.
Learning to extract proteins and their interactions from Medline
abstracts.
In Proceedings of the ICML-03 Workshop on Machine Learning in
Bioinformatics, pages 46-53, Washington, DC, August 2003. BibTeX entry |
| [219] |
Wray L. Buntine and Andreas S. Weigend.
Bayesian back-propagation.
Complex Systems, 5(6):603-643, 1991. BibTeX entry |
| [220] |
Wray L. Buntine.
Operations for learning graphical models.
Journal of Artificial Intelligence Research, 2:159-225,
December 1994. BibTeX entry |
| [221] |
W. Buntine and T. Niblett.
A further comparison of SPlitting rules for decision-tree
induction.
Machine Learning, 8(1):75-86, 1992. BibTeX entry |
| [222] |
W. Buntine.
Theory refinement on Bayesian networks.
In Proceedings of the Seventh Conference on Uncertainty in
Artificial Intelligence (UAI-91), pages 52-60, 1991. BibTeX entry |
| [223] |
Robin D. Burke, Krisitan Hammond, and Julia Kozlovsky.
Knowledge-based information retrieval from semi-structured text.
In Papers from the AAAI Fall Symposium on AI Applications in
Knowledge Navigation & Retrieval, pages 15-19. AAAI Press, 1995. BibTeX entry |
| [224] |
Lisa Burnell and Eric Horovitz.
Structure and chance: Melding logic and probability for software
debugging.
Communications of the Association for Computing Machinery,
38(3):31-41, March 1995. BibTeX entry |
| [225] |
Richard R. Burton.
Diagnosing bugs in a simple procedural skill.
In Derek H. Sleeman and J. S. Brown, editors, Intelligent
Tutoring Systems, chapter 8. Academic Press, London, 1982. BibTeX entry |
| [226] |
Tom Bylander, Dean Allemang, Michael C. Tanner, and John R. Josephson.
Some results concerning the computational complexity of abduction.
In Proceedings of the First International Conference on
Principles of Knowledge Representation and Reasoning, pages 44-54, Toronto,
Ontario, Canada, 1989. BibTeX entry |
| [227] |
R. Byrd, N. Calzolari, M. Chodorow, J. Klavans, M. Neff, and O. Risk.
Tools and methods for computational lexicology.
Computational Linguistics, 13(3):219-240, 1987. BibTeX entry |
| [228] |
Timothy Cain.
Constraining abduction in integrated learning.
In Ninth National Conference on Artificial Intelligence
Workshop, Towards Domain-Independent Strategies for Abduction, pages 14-17,
Anaheim, CA, July 1991. BibTeX entry |
| [229] |
Timothy Cain.
The DUCTOR: A theory revision system for propositional domains.
In Proceedings of the Eighth International Workshop on Machine
Learning, pages 485-489, Evanston, IL, June 1991. BibTeX entry |
| [230] |
Mary Elaine Califf and Raymond J. Mooney.
Relational learning of pattern-match rules for information
extraction.
In Proceedings of the Sixteenth National Conference on
Artificial Intelligence (AAAI-99), pages 328-334, Orlando, FL, July 1999. BibTeX entry |
| [231] |
Mary Elaine Califf and Raymond J. Mooney.
Relational learning of pattern-match rules for information
extraction.
In Proceedings of the ACL Workshop on Natural Language
Learning, pages 9-15, Madrid, Spain, July 1997. BibTeX entry |
| [232] |
M. E. Califf and R. J. Mooney.
Bottom-up relational learning of pattern matching rules for
information extraction.
Journal of Machine Learning Research, 4:177-210, 2003. BibTeX entry |
| [233] |
Mary Elaine Califf, editor.
Papers from the AAAI-1999 Workshop on Machine Learning for
Information Extraction, Orlando, FL, 1999. AAAI Press. BibTeX entry |
| [234] |
Mary Elaine Califf and Raymond J. Mooney.
Advantages of decision lists and implicit negatives in inductive
logic programming.
New Generation Computing, 16(3):263-281, 1998. BibTeX entry |
| [235] |
Mary Elaine Califf.
Learning the past tense of English verbs: An inductive logic
programming approach.
Unpublished project report, 1994. BibTeX entry |
| [236] |
Mary Elaine Califf.
Relational Learning Techniques for Natural Language Information
Extraction.
PhD thesis, Department of Computer Sciences, University of Texas,
Austin, TX, August 1998.
Also appears as Artificial Intelligence Laboratory Technical Report
AI 98-276. BibTeX entry |
| [237] |
R. Mike Cameron-Jones and J. Ross Quinlan.
Avoiding pitfalls when learning recursive theories.
In Proceedings of the Thirteenth International Joint Conference
on Artificial Intelligence (IJCAI-93), pages 1050-1055, Chambery, France,
August 1993. BibTeX entry |
| [238] |
Sandra Carberry.
Incorporating default inferences into plan recognition.
In Proceedings of the Eighth National Conference on Artificial
Intelligence (AAAI-90), pages 471-478, Boston, MA, 1990. BibTeX entry |
| [239] |
Sandra Carberry.
Plan recognition in natural language dialogue.
MIT Press, Cambridge, MA, 1990. BibTeX entry |
| [240] |
Jamie R. Carbonell.
Mixed-initiative man-computer instructional dialogues.
Technical Report BBN Report No. 1971, Bolt Beranek and Newman, Inc.,
Cambridge, MA, 1970. BibTeX entry |
| [241] |
Jamie R. Carbonell and et al.
PRODIGY4.0: The manual and tutorial.
Technical Report CMU-CS-92-150, School of Computer Science, Carnegie
Mellon University, Pittsburg, PA, 1992. BibTeX entry |
| [242] |
Claire Cardie.
Learning to disambiguate relative pronouns.
In Proceedings of the Tenth National Conference on Artificial
Intelligence (AAAI-92), pages 38-43, San Jose, CA, July 1992. BibTeX entry |
| [243] |
Claire Cardie.
A case-based apprach to knowledge acquisition for domain-specific
sentence analysis.
In Proceedings of the Eleventh National Conference on Artificial
Intelligence (AAAI-93), pages 798-803, Washington, D.C., 1993. BibTeX entry |
| [244] |
Claire Cardie and David Pierce.
Error-driven pruning of treebank grammars for noun phrase
identification.
In Proceedings of the 36th Annual Meeting of the Association for
Computational Linguistics and COLING-98 (ACL/COLING-98), pages 218-224,
Montreal, Quebec, 1998. BibTeX entry |
| [245] |
Claire Cardie.
Empirical methods in information extraction.
AI Magazine, 18(4):65-79, 1997. BibTeX entry |
| [246] |
Claire Cardie.
Automating feature set selection for case-based learning of
linguistic knowledge.
In Proceedings of the Conference on Empirical Methods in Natural
Language Processing (EMNLP-96), pages 113-126, 1996. BibTeX entry |
| [247] |
Claire Cardie.
Using decision trees to improve case-based learning.
In Proceedings of the Tenth International Conference on Machine
Learning (ICML-93), pages 25-32, San Mateo, California, 1993. Morgan
Kaufmann. BibTeX entry |
| [248] |
Claire Cardie and Raymond J. Mooney.
Machine learning and natural language (Introduction to special
issue on natural language learning).
Machine Learning, 34:5-9, 1999. BibTeX entry |
| [249] |
Brian Carr and Ira P. Goldstein.
Overlays: a theory of modeling for computer-aided instruction.
Technical Report A. I. Memo 406, MIT, Cambridge, MA, 1977. BibTeX entry |
| [250] |
Timothy A. Cartwright and Michael R. Brent.
Segmenting speech without a lexicon: Evidence for a bootstrapping
model of lexical acquisition.
In Proceedings of the Sixteenth Annual Conference of the
Cognitive Science Society, Hillsdale, NJ, 1994. BibTeX entry |
| [251] |
Rich Caruana.
Multitask learning.
Machine Learning, 28:41-75, 1997. BibTeX entry |
| [252] |
Catherine A. Catino.
Automated Modeling of Chemical Plants with Application to Hazard
and Operability Studies.
PhD thesis, Department of Chemical Engineering, University of
Pennsylvania, 1993. BibTeX entry |
| [253] |
R. Catizone, G. Russell, and S. Warwick.
Deriving translation data from bilingual texts.
In Proceedings of the First International Lexical Acquisition
Workshop, 1993. BibTeX entry |
| [254] |
Jason Catlett.
Megainduction: A test flight.
In Proceedings of the Eighth International Workshop on Machine
Learning, pages 596-599, Evanston, IL, June 1990. BibTeX entry |
| [255] |
Gert Cauwenberghs and Tomaso Poggio.
Incremental and decremental support vector machine learning.
In Proceedings of the Conference on Neural Information
Processing Systems, pages 409-415, 2000. BibTeX entry, Available here |
| [256] |
B. Cestnik, I. Kononenko, and I. Bratko.
ASSISTANT 86: A knowledge elicitation tool for sophisticated
uses.
In Ivan Bratko and Nada Lavrac, editors, Progress in machine
learning. Sigma Press, Wilmslow, 1987. BibTeX entry |
| [257] |
Bojan Cestnik.
Estimating probabilities: A crucial task in machine learning.
In Proceedings of the Ninth European Conference on Artificial
Intelligence, pages 147-149, Stockholm, Sweden, 1990. BibTeX entry |
| [258] |
Joyce Yue Chai, Alan W. Biermann, and Curry I. Guinn.
Two dimensional generalization in information extraction.
In Proceedings of the Sixteenth National Conference on
Artificial Intelligence (AAAI-99), pages 431-438, Orlando, FL, July 1999. BibTeX entry |
| [259] |
Joyce Yue Chai, Veronika Horvath, Nicolas Nicolov, Margo Stys, Nanda Kambhatla,
Wlodek Zadrozny, and Prem Melville.
Natural language assistant: A dialog system for online product
recommendation.
AI Magazine, 23(2):63-76, 2002. BibTeX entry |
| [260] |
Soumen Chakrabarti.
Mining the Web: Analysis of Hypertext and Semi Structured
Data.
Morgan Kaufmann, San Francisco, CA, August 2002. BibTeX entry |
| [261] |
Soumen Chakrabarti.
Mining the Web.
Morgan Kaufmann, San Francisco, CA, 2003. BibTeX entry |
| [262] |
C. L. Chang and R. C. Lee.
Symbolic Logic and Mechanical Theorem Proving.
Academic Press, Bethesda, MD, 1973. BibTeX entry |
| [263] |
Eugene Charniak.
A neat theory of marker passing.
In Proceedings of the Fifth National Conference on Artificial
Intelligence (AAAI-86), pages 584-588, Philadelphia, PA, 1986. BibTeX entry |
| [264] |
Eugene Charniak and Solomon E. Shimony.
Probabilistic semantics for cost based abduction.
In Proceedings of the Eighth National Conference on Artificial
Intelligence (AAAI-90), pages 106-111, Boston, MA, 1990. BibTeX entry |
| [265] |
Eugene Charniak and Robert Goldman.
A probabilistic model of plan recognition.
In Proceedings of the Ninth National Conference on Artificial
Intelligence (AAAI-91), pages 160-165, Anaheim, CA, 1991. BibTeX entry |
| [266] |
Eugene Charniak, Curtis Hendrickson, Neil Jacobson, and Mike Perkowitz.
Equations for part-of-speech tagging.
In Proceedings of the Eleventh National Conference on Artificial
Intelligence (AAAI-93), pages 784-789, Washington, D.C., 1993. BibTeX entry |
| [267] |
Eugene Charniak and Glenn Carroll.
Context-sensitive statistics for improved grammatical language
models.
In Proceedings of the Twelfth National Conference on Artificial
Intelligence (AAAI-94), Seattle, WA, August 1994. BibTeX entry |
| [268] |
Eugene Charniak.
Tree-bank grammars.
In Proceedings of the Thirteenth National Conference on
Artificial Intelligence (AAAI-96), pages 1031-1036, Portland, OR, August
1996. BibTeX entry |
| [269] |
Eugene Charniak.
Motivation analysis, abductive unification, and nonmonotonic
equality.
Artificial Intelligence, 34:275-295, 1988. BibTeX entry |
| [270] |
Eugene Charniak and Robert P. Goldman.
A Bayesian model of plan recognition.
Artificial Intelligence, 64:53-79, 1993. BibTeX entry |
| [271] |
Eugene Charniak.
Bayesian networks without tears.
AI Magazine, 12(4):50-63, 1991. BibTeX entry |
| [272] |
Eugene Charniak.
Statistical techniques for natural language parsing.
AI Magazine, 18(4):33-43, 1997. BibTeX entry |
| [273] |
Eugene Charniak, Yasemin Altun, Rodrigo de Salvo Braz, Benjamin Garrett,
Margaret Kosmala, Tomer Moscovich, Lixin Pang, Changhee Pyo, Ye Sun, Wei Wy,
Zhongfa Yang, Shawn Zeller, and Lisa Zorn.
Reading comprehension programs in a statistical-language-processing
class.
In Proceedings of ANLP-NAACL Workshop on Reading Comprehension
Tests as Evaluation for Computer-Based Lanugage Understanding Systems, pages
1-5, Seattle, WA, 2000. BibTeX entry |
| [274] |
Eugene Charniak and Yorick Wilks, editors.
Computational Semantics.
North-Holland, Amsterdam, 1976. BibTeX entry |
| [275] |
Eugene Charniak and Drew McDermott.
Introduction to AI.
Addison-Wesley, Reading, MA, 1985. BibTeX entry |
| [276] |
Eugene Charniak, Christopher Riesbeck, Drew McDermott, and James Meehan.
Artificial Intelligence Programming (2nd Ed).
Lawrence Erlbaum and Associates, Hillsdale, NJ, 1987. BibTeX entry |
| [277] |
Eugene Charniak.
Statistical Language Learning.
MIT Press, 1993. BibTeX entry |
| [278] |
Eugene Charniak.
Logic and explanation.
Computational Intelligence, 3:172-174, 1987. BibTeX entry |
| [279] |
Eugene Charniak and Robert P. Goldman.
A semantics for probabilistic quantifier-free first-order languages,
with particular application to story understanding.
In Proceedings of the Eleventh International Joint Conference on
Artificial Intelligence (IJCAI-89), Detroit, MI, 1989. BibTeX entry |
| [280] |
E. Charniak.
A maximum-entropy-inspired parser.
In Proceedings of the Meeting of the North American Association
for Computational Linguistics, 2000. BibTeX entry |
| [281] |
Eugene Charniak.
With a spoon in hand this must be the eating frame.
In Theoretical Issues in Natural Language Processing 2, pages
187-193, Urbana, IL, 1978. BibTeX entry |
| [282] |
Eugene Charniak.
Toward a model of children's story comprehension.
Technical Report TR266, Artificial Intelligence Laboratory,
Massachusetts Institute of Technology, 1972. BibTeX entry |
| [283] |
Christian Charras and Thierry Lecroq.
Sequence comparison
http://www-igm.univ-mlv.fr/~lecroq/seqcomp.
Laboratoire d'Informatique de Rouen et Atelier Biologie Informatique
Statistique Socio-Linguistique, Universit'e de Rouen, France, 1998. BibTeX entry |
| [284] |
M. Chase, M. Zweben, R. Piazza, J. Burger, P. Maglio, and H. Hirsh.
Approximating learned search control knowledge.
In Proceedings of the Sixth International Workshop on Machine
Learning, pages 40-42, Ithaca, NY, June 1989. BibTeX entry |
| [285] |
Yves Chauvin and David E. Rumelhart, editors.
Backpropagation: Theory Architectures, and Applications.
Lawrence Erlbaum and Associates, Hillsdale, NJ, 1995. BibTeX entry |
| [286] |
Yves Chauvin.
A back-propagation algorithm with optimal use of hidden units.
In David S. Touretzky, editor, Advances in Neural Information
Processing Systems 1, pages 519-526. Morgan Kaufmann, San Mateo, CA, 1989. BibTeX entry |
| [287] |
P. Cheeseman, M. Self, J. Kelly, W. Taylor, D. Freeman, and J. Stutz.
Bayesian classification.
In Proceedings of the Seventh National Conference on Artificial
Intelligence (AAAI-88), pages 607-617, St. Paul, MN, 1988. BibTeX entry |
| [288] |
Patricia W. Cheng and Laura R. Novick.
A probabilistic contrast model of causal induction.
Journal of Personality and Social Psychology, 58:545-567,
1990. BibTeX entry |
| [289] |
Patricia W. Cheng and Laura R. Novick.
Covariation in natural causal induction.
Psychological Review, 99:365-382, 1992. BibTeX entry |
| [290] |
Shan-Hwei Nienhuys-Cheng.
Flattening, generalizations of clauses and absorption algorithms,
1991. BibTeX entry, Available here |
| [291] |
Shan-Hwei Nienhuys-Cheng.
Term partitions and minimal generalizations of clauses, 1991. BibTeX entry, Available here |
| [292] |
Chakra Chennubhotla and Allan Jepson.
Sparse PCA: Extracting multi-scale structure from data.
In Proceedings of the International Conference on Computer
Vision (ICCV), pages 641-647, Vancouver, Canada, July 2001. BibTeX entry |
| [293] |
Fah-Chun Cheong.
Internet Agents: Spiders, Wanderers, Brokers, and Bots.
New Riders, Indianapolis, IN, 1996. BibTeX entry |
| [294] |
Roger Chiang, Alberto Laender, and Ee-Peng Lim, editors.
Proceedings of the Fifth International Workshop on Web
Information and Data Management(WIDM-2003), New Orleans, LA, November 2003.
ACM. BibTeX entry |
| [295] |
Steve Chien, Tara Estlin, and XueMei Wang.
Hierarchical task network and operator-based planning: Competing or
complementary?
In Proceedings of the Thirteenth National Conference on
Artificial Intelligence (AAAI-96), 1996. BibTeX entry |
| [296] |
Steve Chien and Gerald F. DeJong.
Incremental reasoning in explanation-based learning of plans.
In Proceedings of the Second International Conference of AI
Planning Systems, Chicago, June 1994. BibTeX entry |
| [297] |
Steve Chien, Randall Hill, XueMei Wang, Tara Estlin, Kristina Fayyad, and Helen
Mortensen.
Why real-world planning is difficult: A tale of two applications.
In M. Ghallab and A. Milani, editors, New Directions in AI
Planning, pages 287-298. IOS Press, Amsterdam, 1996. BibTeX entry |
| [298] |
Steve Chien.
Using and refining simplifications: Explanation-based learning of
plans in intractable domains.
In Proceedings of the Eleventh International Joint Conference on
Artificial Intelligence (IJCAI-89), pages 590-595, Detroit, MI, August
1989. BibTeX entry |
| [299] |
Steve Chien.
Towards an intelligent planning knowledge base development
environment.
In AAAI-94 Fall Symposium on Planning and Learning, pages
23-27, New Orleans, LA, October 1994. BibTeX entry |
| [300] |
Steve Chien, Tara Estlin, and XueMei Wang.
Hierarchical task network and operator-based planning: Competing or
complementary?
Technical Report D-13390, NASA Jet Propulsion Laboratory, 1996. BibTeX entry |
| [301] |
Hai Leong Chieu and Hwee Tou Ng.
Named entity recognition with a maximum entropy approach.
In CoNLL-2003, pages 160-163, 2003. BibTeX entry |
| [302] |
Jane. B. Childers.
Children's use of syntactic cues: Difficulties with word order.
In Poster presented at the meeting of the American Psychological
Society, San Francisco, CA, 1996. BibTeX entry |
| [303] |
Jane B. Childers.
The interaction of animacy and the agent category in language
acquisition.
PhD thesis, University of Texas, Austin, TX, 1998. BibTeX entry |
| [304] |
Noam Chomsky.
Syntactic Structures.
Mouton & Co., The Hague, 1957. BibTeX entry |
| [305] |
Noam Chomsky.
Lectures on Government and Binding, the Pisa lectures.
Floris Publications, Dordrecht, The Netherlands and Providence, Rhode
Island, 1988. BibTeX entry |
| [306] |
Noam Chomsky.
Review of Skinner's `Verbal Behavior'.
Language, 35:26-58, 1959. BibTeX entry |
| [307] |
M. H. Christiansen, J. Allen, and M. S. Seidenberg.
Learning to segment speech using multiple cues: A connectionist
model.
Manuscript, University of Southern California, 1997. BibTeX entry |
| [308] |
Jennifer Chu-Carroll and M. Brown.
Tracking initiative in collaborative dialogue interactions.
In Proceedings of the 35th Annual Meeting of the Association for
Computational Linguistics (ACL-97), Montreal, Canada, 1997. BibTeX entry |
| [309] |
Kenneth W. Church.
A stochastic parts program and noun phrase parser for unrestricted
text.
In Proceedings of the Second Conference on Applied Natural
Language Processing, pages 136-143, Austin, TX, 1988. Association for
Computational Linguistics. BibTeX entry |
| [310] |
Kenneth W. Church and Ramesh Patil.
Coping with syntactic ambiguity or how to put the block in the box on
the table.
American Journal of Computational Linguistics, 8(3-4):139-149,
1982. BibTeX entry |
| [311] |
Kenneth W. Church and Patrick W. Hanks.
Word association norms, mutual information and lexicography.
Computational Linguistics, 16(1):22-29, 1990. BibTeX entry |
| [312] |
Kenneth W. Church and R. L. Mercer.
Introduction to the special issue on computational linguistics using
large corpora.
Computational Linguistics, 19(1):1-24, 1993. BibTeX entry |
| [313] |
Fabio Ciravegna and Nicholas Kushmerick, editors.
Papers from the 14th European Conference on Machine
Learning(ECML-2003) and the 7th European Conference on Principles and
Practice of Knowledge Discovery in Databases(PKDD-2003) Workshop on
Adaptive Text Extraction and Mining, Cavtat-Dubrovnik, Croatia, September
2003. BibTeX entry |
| [314] |
Fabio Ciravegna, Roberto Basili, and Robert Gaizauskas, editors.
Proceedings of the 14th European Conference on Artificial
Intelligence(ECAI-2000) Workshop on Machine Learning for Information
Extraction, Berlin, Germany, August 2000. BibTeX entry |
| [315] |
W. J. Clancey.
NEOMYCIN: Reconfiguring a rule-based system with application to
teaching.
In W. J. Clancey and E. H. Shortliffe, editors, Reading in
Medical Artificial Intelligence, pages 361-381. Addison-Wesley, 1984. BibTeX entry |
| [316] |
K. Clark.
Negation as failure.
In H. Gallaire and J. Minker, editors, Logic and Data Bases.
Plenum Press, New York, NY, 1978. BibTeX entry |
| [317] |
Herbert Clark.
Arenas of language use.
The University of Chicago Press, 1992. BibTeX entry |
| [318] |
Herbert Clark.
Using Language.
Cambridge University Press, 1996. BibTeX entry |
| [319] |
H. Clark and D. Wilkes-Gibbs.
Referring as a collaborative process.
Cognition, 22:1-39, 1986. BibTeX entry |
| [320] |
H. Clark and E. Schaefer.
Contributing to discourse.
Cognitive Science, 13:259-294, 1989. BibTeX entry
Model of discourse emphasizing the fact that contributions to discourse are jointly constructed. An utterance is only completed when the mutual belief is established that the utterance is understood. This may involve various types of acknowledgments and repair move, leading to a complex hierarchical structure of contributions (acknowledgments, questions and repair initiators are also contributions which require some acknowledgment, even if just by continuing attention or continuing the discourse at the same level.
|
| [321] |
Peter Clark and Robin Boswell.
Rule induction with CN2: Some recent improvements.
In Machine Learning: Proceedings of the Fifth European
Conference, pages 151-163, 1991. BibTeX entry |
| [322] |
P. Clark and T. Niblett.
The CN2 induction algorithm.
Machine Learning, 3:261-284, 1989. BibTeX entry |
| [323] |
S. H. Clearwater, T. P. Cheng, H. Hirsh, and B. G. Buchanan.
Incremental batch learning.
In Proceedings of the Sixth International Workshop on Machine
Learning, pages 366-370, Ithaca, NY, June 1989. BibTeX entry |
| [324] |
T. P. Clement and K. Lau, editors.
Logic Program Synthesis and Transformation: Proceedings of
LOPSTR'91, International Workshop on Logic PRogram Synthesis and
Transformation.
Springer Verlag, New York, 1992. BibTeX entry |
| [325] |
Chris Clifton and Robert Cooley.
TopCat: Data mining for topic identification in a text corpus.
In Jan M. Zytkow and Jan Rauch, editors, Proceedings of Third
European Conference of Principles and Practice of Knowledge Discovery in
Databases(PKDD-99), pages 174-183, Prague, Czech Replublic, September 1999.
Springer Verlag.
Lecture Notes in Computer Science Vol. 1704. BibTeX entry |
| [326] |
M. Coen.
Design principles for intelligent environments.
In AAAI Spring Symposium on Intelligent Environments, 1998. BibTeX entry |
| [327] |
William W. Cohen.
Learning from textbook knowledge: A case study.
In Proceedings of the Eighth National Conference on Artificial
Intelligence (AAAI-90), pages 743-748, Boston, MA, July 1990. BibTeX entry |
| [328] |
William W. Cohen.
Pac-learning a restricted class of recursive logic programs.
In Proceedings of the Eleventh National Conference on Artificial
Intelligence (AAAI-93), pages 86-92, Washington, D.C., 1993. BibTeX entry |
| [329] |
William W. Cohen.
Pac-learning nondeterminate clauses.
In Proceedings of the Twelfth National Conference on Artificial
Intelligence (AAAI-94), pages 676-681, Seattle, WA, August 1994. BibTeX entry |
| [330] |
William W. Cohen.
Learning trees and rules with set-valued features.
In Proceedings of the Thirteenth National Conference on
Artificial Intelligence (AAAI-96), pages 709-716, Portland, OR, August
1996. BibTeX entry |
| [331] |
P. Cohen.
A survey of the Eighth National Conference on Artificial
Intelligence: Pulling together or pulling apart.
AI Magazine, 12(1):16-41, 1991. BibTeX entry |
| [332] |
L. B. Cohen and E. R. Gerber.
Infant visual memory.
In L. Cohen and S. Salapatek, editors, Infant perception: From
sensation to cognition, Vol.1. Basic Visual Processes, pages 347-403.
Academic Press, New York, 1975. BibTeX entry |
| [333] |
William W. Cohen.
Learning to classify English text with ILP methods.
In Luc De Raedt, editor, Advances in Inductive Logic
Programming, pages 124-143. IOS Press, Amsterdam, 1996. BibTeX entry |
| [334] |
L. B. Cohen, G. Amsel, M. A. Redford, and M. Casasola.
The development of infant causal perception.
In A. Slater, editor, Perceptual development: Visual, auditory,
and speech perception in infancy. University College London Press and Taylor
and Francis, London, in press. BibTeX entry |
| [335] |
L. Cohen.
An information-processing approach to infant cognitive development.
In L. Weiskrantz, editor, Thought without language, pages
211-228. Clarenden, Oxford, 1988. BibTeX entry |
| [336] |
L. B. Cohen and L. M. Oakes.
How infants perceive a simple causal event.
Developmental Psychology, 29:421-433, 1993. BibTeX entry |
| [337] |
William Cohen.
Infrastructure components for large-scale information extraction
systems.
In Proceedings of the Fifteenth Innovative Applications of
Artificial Intelligence Conference (IAAI-03), pages 71-78, 2003. BibTeX entry |
| [338] |
L. B. Cohen and G. Amsel.
Precursors to infants' perception of causality.
Infant Behavior and Development, in press. BibTeX entry |
| [339] |
L. B. Cohen, L. J. Rundell, B. A. Spellman, and C. Cashon.
Infants' perception of causal chains.
In Poster presented at International Conference on Infant
Studies, Atlanta, GA, 1998. BibTeX entry |
| [340] |
William W. Cohen, Robert E. Schapire, and Yoram Singer.
Learning to order things.
Journal of Artificial Intelligence Research, 10:243-270, 1999. BibTeX entry |
| [341] |
William W. Cohen, Henry Kautz, and David McAllester.
Hardening soft information sources.
In Proceedings of the Sixth International Conference on
Knowledge Discovery and Data Mining (KDD-2000), Boston, MA, August 2000. BibTeX entry |
| [342] |
William W. Cohen and Jacob Richman.
Learning to match and cluster large high-dimensional data sets for
data integration.
In Proceedings of the Eighth ACM SIGKDD International Conference
on Knowledge Discovery and Data Mining (KDD-2002), Edmonton, Alberta, 2002. BibTeX entry |
| [343] |
William Cohen, Richard Wang, and Robert Murphy.
Understanding captions in biomedical publications.
In Proceedings of the Ninth ACM SIGKDD International Conference
on Knowledge Discovery and Data Mining (KDD-2003), pages 499-504, 2003. BibTeX entry |
| [344] |
Willima W. Cohen and Haym Hirsh.
Joins that generalize: Text classification using WHIRL.
In Proceedings of the Fourth International Conference on
Knowledge Discovery and Data Mining (KDD-98), pages 169-173, New York, NY,
1998. BibTeX entry |
| [345] |
William W. Cohen.
Learning approximate control rules of high utility.
In Proceedings of the Seventh International Conference on
Machine Learning (ICML-90), pages 268-276, Austin, TX, June 1990. BibTeX entry |
| [346] |
William W. Cohen.
The generality of over-generality.
In Proceedings of the Eighth International Workshop on Machine
Learning, pages 490-495, Evanston, IL, June 1991. BibTeX entry |
| [347] |
William W. Cohen.
Compiling prior knowledge into an explicit bias.
In Proceedings of the Ninth International Conference on Machine
Learning (ICML-92), pages 102-110, Aberdeen, Scotland, July 1992. BibTeX entry |
| [348] |
William W. Cohen.
Text categorization and relational learning.
In Proceedings of the Twelfth International Conference on
Machine Learning (ICML-95), pages 124-132, San Francisco, CA, 1995. Morgan
Kaufmann. BibTeX entry |
| [349] |
William W. Cohen.
Fast effective rule induction.
In Proceedings of the Twelfth International Conference on
Machine Learning (ICML-95), pages 115-123, San Francisco, CA, 1995. BibTeX entry |
| [350] |
William W. Cohen.
Abductive explanation-based learning: A solution to the multiple
inconsistent explanation problem.
Machine Learning, 8(2):167-219, 1992. BibTeX entry |
| [351] |
William W. Cohen.
Improving a page classifier with anchor extraction and link analysis.
In S. Becker, S. Thrun, and K. Obermayer, editors, Advances in
Neural Information Processing Systems 15, pages 1481-1488, Cambridge, MA,
2003. MIT Press. BibTeX entry |
| [352] |
William Cohen and Jacob Richman.
Learning to match and cluster entity names.
In ACM SIGIR-2001 Workshop on Mathematical/Formal Methods in
Information Retrieval, New Orleans, LA, September 2001. BibTeX entry |
| [353] |
William W. Cohen.
Providing database-like access to the web using queries based on
textual similarity.
In Proceedings of the 1998 ACM SIGMOD International Conference
on Management of Data (SIGMOD-98), pages 558-560, Seattle, WA, June 1998. BibTeX entry |
| [354] |
William W. Cohen.
Integration of heterogeneous databases without common domains using
queries based on textual similarity.
In Proceedings of the 1998 ACM SIGMOD International Conference
on Management of Data (SIGMOD-98), pages 201-212, Seattle, WA, 1998. BibTeX entry |
| [355] |
William W. Cohen.
Learning rules that classify E-mail.
In Papers from the AAAI Spring Symposium on Machine Learning in
Information Access, pages 18-25. AAAI Press, 1996. BibTeX entry |
| [356] |
W. W. Cohen and W. Fan.
Web-collaborative filtering: Recommending music by crawling the web.
In Ninth International World Wide Web Conference, Amsterdam,
2000. BibTeX entry |
| [357] |
William W. Cohen, Matthew Hurst, and Lee S. Jensen.
A flexible learning system for wrapping tables and lists in HTML
documents.
In Proceedings of the Eleventh International World Wide Web
Conference (WWW-2002), pages 232-241, Honolulu, HI, May 2002. ACM. BibTeX entry |
| [358] |
William Cohen and Wei Fan.
Learning page-independent heuristics for extracting data from web
pages.
In Proceedings of the Eighth International World Wide Web
Conference (WWW-99), 1999. BibTeX entry |
| [359] |
David A. Cohn, Zoubin Ghahramani, and Michael I. Jordan.
Active learning with statistical models.
Journal of Artificial Intelligence Research, 4:129-145, 1996. BibTeX entry |
| [360] |
D. Cohn, L. Atlas, and R. Ladner.
Improving generalization with active learning.
Machine Learning, 15(2):201-221, 1994. BibTeX entry |
| [361] |
David Cohn, Rich Caruana, and Andrew McCallum.
Semi-supervised clustering with user feedback.
Technical Report TR2003-1892, Cornell University, 2003. BibTeX entry |
| [362] |
David Cohn, Rich Caruana, and Andrew McCallum.
Semi-supervised clustering with user feedback.
Unpublished manuscript. Available at
http://www-2.cs.cmu.edu/~mccallum/, 2000. BibTeX entry |
| [363] |
Enrico Coiera.
Generating qualitative models from example behaviours.
Technical Report 8901, University of New South Wales, 1989. BibTeX entry |
| [364] |
N. Collier, C. No, and J. Tsujii.
Extracting the names of genes and gene products with a Hidden
Markov Model.
In Proceedings of the Eighteenth International Conference on
Computational Linguistics, pages 201-207, Saarbruken, Germany, 2000. BibTeX entry |
| [365] |
N. Collier, H. Park, N. Ogata, Y. Tateisi, C. Nobata, T.Ohta, T. Sekimizu,
H. Imai, K. Ibushi, and J. Tsujii.
The GENIA project: Corpus-based knowledge acquisition and
information extraction from genome research papers.
In Ninth Conference of the European Chapter of the Association
for Computational Linguistics (EACL-99), pages 271-272, Bergen, 1999. BibTeX entry |
| [366] |
Michael Collins.
Ranking algorithms for named-entity extraction: Boosting and the
voted perceptron.
In Proceedings of the Annual Meeting of the Association for
Computational Linguistics (ACL-02), 2002. BibTeX entry |
| [367] |
Michael J. Collins.
A new statistical parser based on bigram lexical dependencies.
In Proceedings of the 34th Annual Meeting of the Association for
Computational Linguistics (ACL-96), pages 184-191, Santa Cruz, CA, 1996. BibTeX entry |
| [368] |
Michael J. Collins.
Three generative, lexicalised models for statistical parsing.
In Proceedings of the 35th Annual Meeting of the Association for
Computational Linguistics (ACL-97), pages 16-23, 1997. BibTeX entry |
| [369] |
Michael Collins and Yoram Singer.
Unsupervised models for named entity classification.
In Proceedings of the Conference on Empirical Methods in Natural
Language Processing and Very Large Corpora (EMNLP/VLC-99), University of
Maryland, June 1999. BibTeX entry |
| [370] |
Michael Collins.
Head-driven Statistical Models for Natural Language Parsing.
PhD thesis, University of Pennsylvania, 1999. BibTeX entry |
| [371] |
Michael J. Collins and J. Brooks.
Propositional phrase attachment through a back-off model.
In Proceedings of the Third Workshop on Very Large Corpora,
1995. BibTeX entry |
| [372] |
Pierre Comon.
Independent component analysis, a new concept?
Signal Processing, 36:287-314, 1994. BibTeX entry |
| [373] |
Dennis Connolly.
Constructing hidden variables in Bayesian networks via conceptual
clustering.
In Proceedings of the Tenth International Conference on Machine
Learning (ICML-93), pages 65-72, Amherst, MA, June 1993. BibTeX entry |
| [374] |
Jack G. Conrad and Mary Hunter Utt.
A system for discovering relationships by feature extraction from
text databases.
In W. Bruce Croft and C. J. van Rijsbergen, editors,
Proceedings of Seventeenth International ACM SIGIR Conference on Research and
Development in Information Retrieval (SIGIR-94), pages 260-270, Dublin,
Ireland, 1994. ACM / Springer. BibTeX entry |
| [375] |
Walter Cook.
Case Grammar Theory.
Georgetown Univ. Press, Washington D. C., 1989. BibTeX entry |
| [376] |
D. J. Cook and L. B. Holder.
Graph-based data mining.
IEEE Intelligent Systems, 15(2):32-41, 2000. BibTeX entry |
| [377] |
D. J. Cook and L. B. Holder.
Substructure discovery using minimum description length and
background knowledge.
Journal of Artificial Intelligence Research, 1:231-255, 1994. BibTeX entry |
| [378] |
G. Cooper.
Computational complexity of probabilistic inference using Bayesian
belief networks (research note).
Artificial Intelligence, 42:393-405, 1990. BibTeX entry |
| [379] |
G. G. Cooper and E. Herskovits.
A Bayesian method for the induction of probabilistic networks from
data.
Machine Learning, 9:309-347, 1992. BibTeX entry |
| [380] |
G. F. Cooper.
Probabilistic inference using belief networks is NP-hard.
Technical Report KSL-87-27, Medical Computer Science Group, Stanford
Univ., Stanford, CA, 1987. BibTeX entry |
| [381] |
A. Copestake, T. Briscoe, P. Vossen, A. Ageno, I. Castellon, F. Ribas,
G. Rigan, H. Rodríguez, and A. Samiotou.
Acquisition of lexical translation relations from MRDS.
Machine Translation, 9, 1995. BibTeX entry |
| [382] |
S. Cost and S. Salzberg.
A weighted nearest neighbor algorithm for learning with symbolic
features.
Machine Learning, 10(1):57-78, 1993. BibTeX entry |
| [383] |
P. Cotter and B. Smyth.
PTV: Intelligent personalized TV guides.
In Twelfth Conference on Innovative Applications of Artificial
Intelligence, pages 957-964, Austin, TX, 2000. BibTeX entry |
| [384] |
G. Cotrell and K. Plunkett.
Learning the past tense in a recurrent network: Acquiring the mapping
from meaning to sounds.
In Proceedings of the Thirteenth Annual Conference of the
Cognitive Science Society, pages 328-333, Chicago, IL, 1991. BibTeX entry |
| [385] |
T. M. Cover and J. A. Thomas.
Elements of Information Theory.
Wiley, New York, NY, 1991. BibTeX entry |
| [386] |
T. M. Cover and J. A. Thomas.
Elements of Information Theory.
Wiley-Interscience, 1991. BibTeX entry |
| [387] |
T.M. Cover.
Geometrical and statistical properties of systems of linear
inequalities with applications in pattern recognition.
IEEE Transactions on Electronic Computers, EC-14:326-334,
1965. BibTeX entry |
| [388] |
T. M. Cover and P. E. Hart.
Nearest neighbor pattern classification.
IEEE Transactions on Information Theory, 13:21-27, 1967. BibTeX entry |
| [389] |
J. Cowie and W. Lehnert.
Information extraction.
Communications of the Association for Computing Machinery,
39(1):80-91, 1996. BibTeX entry |
| [390] |
P. T. Cox and T. Pietrzykowski.
Causes for events: Their computation and applications.
In Proceedings of the Eighth International Conference on
Automated Deduction, pages 608-621. Springer Verlag, 1986.
Lecture Notes in Computer Science 230. BibTeX entry |
| [391] |
P. T. Cox and T. Pietrzykowski.
General diagnosis by abductive inference.
In Proceedings of the 1987 Symposium on Logic Programming,
pages 183-189, 1987. BibTeX entry |
| [392] |
Mark Craven, Dan DiPasquo, Dayne Freitag, Andrew McCallum, Tom Mitchell, Kamal
Nigam, and Sean Slattery.
Learning to extract symbolic knowledge from the World Wide Web.
In Proceedings of the Fifteenth National Conference on
Artificial Intelligence (AAAI-98), pages 509-516, Madison, WI, July 1998. BibTeX entry |
| [393] |
Mark Craven, Dan DiPasquo, Dayne Freitag, Andrew McCallum, Tom Mitchell, Kamal
Nigam, and Sean Slattery.
Learning to construct knowledge bases from the World Wide Web.
Artificial Intelligence, 118(1-2):69-113, 2000. BibTeX entry |
| [394] |
M. Craven and J. Kumlien.
Constructing biological knowledge bases by extracting information
from text sources.
In Proceedings of the 7th International Conference on
Intelligent Systems for Molecular Biology (ISMB-1999), pages 77-86,
Heidelberg, Germany, 1999. BibTeX entry |
| [395] |
Mark Craven, David Page, Jude Shavlik, Joseph Bockhorst, and Jeremy Glasner.
Using multiple levels of learning and diverse evidence sources to
uncover coordinately controlled genes.
In Proceedings of the Seventeenth International Conference on
Machine Learning (ICML-2000), pages 199-206, San Francisco, CA, 2000.
Morgan Kaufmann. BibTeX entry |
| [396] |
Mark Craven.
Learning to extract relations from MEDLINE.
In Papers from the Sixteenth National Conference on Artificial
Intelligence (AAAI-99) Workshop on Machine Learning for Information
Extraction, pages 25-30, July 1999. BibTeX entry |
| [397] |
Mark W. Craven and Jude W. Shavlik.
Extracting tree-structured representations of trained networks.
In David S. Touretzky, Michael C. Mozer, and Michael E. Hasselmo,
editors, Advances in Neural Information Processing Systems, volume 8,
pages 24-30. The MIT Press, 1995. BibTeX entry |
| [398] |
Susan Craw and Derek H. Sleeman.
The flexibility of speculative refinement.
In Proceedings of the Eighth International Workshop on Machine
Learning, pages 28-32, Evanston, IL, June 1990. BibTeX entry |
| [399] |
James M. Crawford, Adam Farquhar, and Benjmain J. Kuipers.
QPC: A compiler from physical models into qualitative
differential equations.
In Proceedings of the Eighth National Conference on Artificial
Intelligence (AAAI-90), pages 365-372, Boston, MA, 1990. BibTeX entry |
| [400] |
David Croft.
Choices made by a planner: Identifying them, and improving the way in
which they are made.
Master's thesis, Deparment of Artificial Intelligence, University of
Edinburgh, 1984. BibTeX entry |
| [401] |
Lee J. Cronbach and Richard E. Snow.
Aptitudes and Instructional Methods.
Irving Publishers, New York, NY, 1977. BibTeX entry |
| [402] |
Andrew D. J. Cross and Edwin R. Hancock.
Graph matching with a dual-step EM algorithm.
IEEE Transactions on Pattern Analysis and Machine Intelligence,
20(11):1236-1253, November 1998. BibTeX entry |
| [403] |
Richard E. Cullingford.
Script application: Computer understanding of newspaper stories.
Technical Report 116, Department of Computer Science, Yale
University, New Haven, CT, January 1978. BibTeX entry |
| [404] |
P. Cunningham and J. Carney.
Diversity versus quality in classification ensembles based on feature
selection.
In 11th European Conference on Machine Learning, pages
109-116, 2000. BibTeX entry |
| [405] |
James Cussens.
Part-of-speech tagging using Progol.
In Inductive Logic Programming: Proceedings of the 7th
International Workshop (ILP-97). LNAI 1297, pages 93-108. Springer Verlag,
1997. BibTeX entry, Compressed PS |
| [406] |
James Cussens, Saso Dzeroski, and Tomaz Erjavec.
Morphosyntactic tagging of Slovene using Progol.
In Saso Dzeroski and Peter Flach, editors, Proceedings
of the 9th International Workshop on Inductive Logic Programming (ILP-99),
Bled, Slovenia, June 1999. Springer Verlag. BibTeX entry |
| [407] |
Allen Cypher, editor.
Watch What I Do: Programming by Demonstration.
MIT Press, Cambridge, MA, 1993. BibTeX entry |
| [408] |
Walter Daelemans, Gert Durieux, and Steven Gillis.
The acquisition of stress: A data-oriented approach.
Computational Linguistics, 20(3):421-451, 1994. BibTeX entry |
| [409] |
Walter Daelemans, Sabine Buchholz, and Jorn Veenstra.
Memory-based shallow parsing.
In Proceedings of CoNLL-1999, Bergen, Norway, 1999. BibTeX entry |
| [410] |
Walter Daelemans, Antal van den Bosch, and Jakub Zavrel.
Forgetting exceptions is harmful in language learning.
Machine Learning, 34:11-42, 1999. BibTeX entry |
| [411] |
Walter Daelemans, Jakub Zavrel, Peter Berck, and Steven Gillis.
MBT: A memory-based part of speech tagger-generator.
In Proceedings of the Fourth Workshop on Very Large Corpora,
pages 14-27. ACL SIGDAT, 1996. BibTeX entry |
| [412] |
Ido Dagan and Sean P. Engelson.
Committee-based sampling for training probabilistic classifiers.
In Proceedings of the Twelfth International Conference on
Machine Learning (ICML-95), pages 150-157, San Francisco, CA, 1995. Morgan
Kaufmann. BibTeX entry |
| [413] |
Ido Dagan, Lillian Lee, and Fernando C. N. Pereira.
Similarity-based models of word cooccurrence probabilities.
Machine Learning, 34:43-70, 1999. BibTeX entry |
| [414] |
Philippe Dague, Olivier Jehl, Philippe Deves, Pierre Luciani, and Patrick
Taillibert.
When oscillators stop oscillating.
In Proceedings of the Twelfth International Joint Conference on
Artificial Intelligence (IJCAI-91), pages 1109-1115, Sydney, Australia,
1991. BibTeX entry |
| [415] |
Veronica Dahl and Michael C. McCord.
Treating coordination in logic grammars.
American Journal of Computational Linguistics, 9(2):69-91,
1983. BibTeX entry |
| [416] |
Bi-Ru Dai, Cheng-Ru Lin, and Ming-Syan Chen.
On the techniques for data clustering with numerical constraints.
In Proceedings of the SIAM International Conference on Data
Mining, 2003. BibTeX entry |
| [417] |
David Dalle Molle.
Qualitative simulation of dynamic chemical processes.
Technical Report AI89-107, Artificial Intelligence Laboratory,
University of Texas at Austin, Austin, Texas 78712, May 1989. BibTeX entry |
| [418] |
Andrea Pohoreckyj Danyluk.
The use of explanations for similarity-based learning.
In Proceedings of the Tenth International Joint Conference on
Artificial Intelligence (IJCAI-87), pages 274-276, Milan, Italy, August
1987. BibTeX entry |
| [419] |
Andrea Pohoreckyj Danyluk.
Finding new rules for incomplete theories: Explicit biases for
induction with contextual information.
In Proceedings of the Sixth International Workshop on Machine
Learning, pages 34-36, Ithaca, NY, June 1989. BibTeX entry |
| [420] |
Andrea Pohoreckyj Danyluk.
Gemini: An integration of analytical and empirical learning.
In Proceedings of the First International Workshop on
Multistrategy Learning, pages 191-206, Harper's Ferry, W.Va., November
1991. BibTeX entry |
| [421] |
Andrea Pohoreckyj Danyluk.
Rule induction for incomplete domains: An integration of machine
learning methods.
Technical Report TN-89-049, Philips Laboratories, Briarcliff, NY,
February 1989. BibTeX entry |
| [422] |
J. Darroch and D. Ratchliff.
Generalized iterative scaling for log-linear models.
The Annals of Mathematical Statistics, 43(5):1470-1480, 1972. BibTeX entry |
| [423] |
Sanjoy Dasgupta.
Performance guarantees for hierarchical clustering.
In Conf. on Computational Learning Theory, pages 351-363,
2002. BibTeX entry |
| [424] |
Venu Dasigi.
Parsing = parsimonious covering? (abduction in logical form
generation).
In Proceedings of the Twelfth International Joint Conference on
Artificial Intelligence (IJCAI-91), pages 1031-1036, Sydney, Australia,
1991. BibTeX entry |
| [425] |
Kushal Dave, Steve Lawrence, and David M. Pennock.
Mining the peanut gallery: Opinion extraction and semantic
classification of product reviews.
In Proceedings of the Twelfth International World Wide Web
Conference (WWW-2003), Budapest, Hungary, May 2003. ACM. BibTeX entry |
| [426] |
Randall Davis.
Diagnostic reasoning based on structure and behavior.
Artificial Intelligence, 24:347-410, 1984. BibTeX entry |
| [427] |
D. T. Davis and J. N. Hwang.
Attentional focus training by boundary region data selection.
In International Joint Conference on Neural Networks, volume 1,
pages 676-81. IEEE, 1992. BibTeX entry |
| [428] |
Dennis Decoste.
Dynamic across-time measurement interpretation.
Artificial Intelligence, 51, 1991. BibTeX entry |
| [429] |
Scott C. Deerwester, Susan T. Dumais, George W. Furnas, Thomas K. Landauer, and
Richard A. Harshman.
Indexing by latent semantic analysis.
Journal of the American Society for Information Science,
41:391-407, 1990. BibTeX entry |
| [430] |
Gerald F. DeJong.
An overview of the FRUMP system.
In Wendy G. Lehnert and Martin H. Ringle, editors, Strategies
for Natural Language Processing, pages 149-176. Lawrence Erlbaum and
Associates, 1982. BibTeX entry |
| [431] |
Gerald F. DeJong.
An introduction to explanation-based learning.
In Howard E. Shrobe, editor, Exploring Artificial Intelligence,
pages 45-81. Morgan Kaufmann, San Mateo, CA, 1988. BibTeX entry |
| [432] |
Gerald F. DeJong, editor.
Investigating Explanation-Based Learning.
Kluwer Academic Publishers, Norwell, MA, 1993. BibTeX entry |
| [433] |
Gerald F. DeJong.
Generalizations based on explanations.
In Proceedings of the Seventh International Joint Conference on
Artificial Intelligence (IJCAI-81), pages 67-70, Vancouver, BC, 1981. BibTeX entry |
| [434] |
Gerald F. DeJong and Raymond J. Mooney.
Explanation-based learning: An alternative view.
Machine Learning, 1(2):145-176, 1986.
Reprinted in Readings in Machine Learning, Jude W. Shavlik and
Thomas G. Dietterich (eds.), Morgan Kaufman, San Mateo, CA, 1990. BibTeX entry |
| [435] |
Johan deKleer.
Focusing on probable diagnoses.
In Proceedings of the Ninth National Conference on Artificial
Intelligence (AAAI-91), pages 842-848, Anaheim, CA, 1991. BibTeX entry |
| [436] |
Johan deKleer and John S. Brown.
A qualitative physics based on confluences.
Artificial Intelligence, 24:7-83, 1984. BibTeX entry |
| [437] |
Johan de Kleer.
An assumption-based TMS.
Artificial Intelligence, 28:127-162, 1986. BibTeX entry |
| [438] |
Johan de Kleer.
Problem solving with the ATMS.
Artificial Intelligence, 28:197-224, 1986. BibTeX entry |
| [439] |
Johan de Kleer and Brian C. Williams.
Diagnosing multiple faults.
Artificial Intelligence, 32:97-130, 1987. BibTeX entry |
| [440] |
Johan de Kleer and Brian C. Williams.
Diagnosis with behavioral modes.
In Proceedings of the Eleventh International Joint Conference on
Artificial Intelligence (IJCAI-89), pages 1324-1330, Detroit, MI, 1989. BibTeX entry |
| [441] |
Carl de Marcken.
Acquiring a lexicon from unsegmented speech.
In Proceedings of the 33rd Annual Meeting of the Association for
Computational Linguistics (ACL-95), pages 311-313, Cambridge, MA, 1995. BibTeX entry |
| [442] |
Ayhan Demiriz, K. P. Bennett, and M. J. Embrechts.
Semi-supervised clustering using genetic algorithms.
In Artificial Neural Networks in Engineering (ANNIE-99), pages
809-814, November 1999. BibTeX entry |
| [443] |
Bart Demoen and Phuong-Lan Nguyen.
So many wam variations, so little time.
In LNAI 1861, Proceedings Computational Logic - CL 2000, pages
1240-1254. Springer-Verlag, July 2000. BibTeX entry |
| [444] |
Arthur P. Dempster.
A generalization of Bayesian inference.
Journal of the Royal Statistical Society, 30:205-247, 1968. BibTeX entry |
| [445] |
Arthur P. Dempster, Nan M. Laird, and Donald B. Rubin.
Maximum likelihood from incomplete data via the EM algorithm.
Journal of the Royal Statistical Society B, 39:1-38, 1977. BibTeX entry |
| [446] |
Luc De Raedt and Maurice Bruynooghe.
An overview of the interactive concept learner and theory revisor
CLINT.
In Stephen Muggleton, editor, Inductive Logic Programming,
pages 163-192. Academic Press, New York, 1992. BibTeX entry |
| [447] |
Luc De Raedt.
Interactive Theory Revision: An Inductive Logic Programming
Approach.
Academic Press, New York, NY, 1992. BibTeX entry |
| [448] |
Luc De Raedt, Nada Lavrac, and Saso Dzeroski.
Multiple predicate learning.
In Proceedings of the Thirteenth International Joint Conference
on Artificial Intelligence (IJCAI-93), pages 1037-1042, Chambery, France,
1993. BibTeX entry |
| [449] |
Luc De Raedt and Maurice Bruynooghe.
A theory of clausal discovery.
In Proceedings of the Thirteenth International Joint Conference
on Artificial Intelligence (IJCAI-93), pages 1058-1063, Chambery, France,
1993. BibTeX entry |
| [450] |
Luc De Raedt and Maurice Bruynooghe.
Interactive concept learning and constructive induction by analogy.
Machine Learning, 8(2):107-150, 1992. BibTeX entry |
| [451] |
Ferdenand de Saussure.
Course in General Linguistics.
McGraw Hill, New York, 1915/1966. BibTeX entry |
| [452] |
Roberto Desimone.
Learning control knowledge within an explanation-based learning
framework.
In Progress in Machine Learning - Proceedings of 2nd European
Working Session on Learning, EWSL-87, Bled,Yugoslavia, May 1987. BibTeX entry |
| [453] |
L. Devroye, L. Gyorfi, and G. Lugosi.
A Probabilistic Theory of Pattern Recognition.
Springer Verlag, 1996. BibTeX entry |
| [454] |
I. S. Dhillon, J. Fan, and Y. Guan.
Efficient clustering of very large document collections.
In Data Mining for Scientific and Engineering Applications.
Kluwer Academic Publishers, 2001. BibTeX entry |
| [455] |
Inderjit S. Dhillon and Yuquiang Guan.
Information theoretic clustering of sparse co-occurrence data.
In Proceedings of the Third IEEE International Conference on
Data Mining (ICDM-03), pages 517-521, 2003. BibTeX entry |
| [456] |
Inderjit S. Dhillon.
Co-clustering documents and words using bipartite spectral graph
partitioning.
In Proceedings of the Seventh ACM SIGKDD International
Conference on Knowledge Discovery and Data Mining (KDD-2001), 2001. BibTeX entry |
| [457] |
Inderjit Dhillon, Subramanyam Mallela, and Rahul Kumar.
Enhanced word clustering for hierarchical classification.
In Proceedings of the Eighth ACM SIGKDD International Conference
on Knowledge Discovery and Data Mining (KDD-2002), Edmonton, 2002. BibTeX entry |
| [458] |
I. S. Dhillon and D. S. Modha.
Concept decompositions for large sparse text data using clustering.
Machine Learning, 42:143-175, 2001. BibTeX entry |
| [459] |
Walter Dick and Lou Carey.
The systematic design of instruction.
Scott, Foresman/Little, Brown Higher Education, Glenview, IL, third
edition, 1990. BibTeX entry |
| [460] |
Thomas G. Dietterich, Richard H. Lathrop, and Tomas Lozano-Perez.
Solving the multiple instance problem with axis-parallel rectangles.
Artificial Intelligence, 89(1-2):31-71, 1997. BibTeX entry |
| [461] |
T. G. Dietterich.
Machine learning research: Four current directions.
AI Magazine, 18(4):97-136, 1997. BibTeX entry |
| [462] |
T. Dietterich.
Ensemble methods in machine learning.
In J. Kittler and F. Roli, editors, First International Workshop
on Multiple Classifier Systems, Lecture Notes in Computer Science, pages
1-15. Springer-Verlag, 2000. BibTeX entry, Available here |
| [463] |
Thomas Dietterich.
The Handbook of Brain Theory and Neural Networks, chapter
Ensemble Learning, pages 405-408.
The MIT Press, 2002. BibTeX entry |
| [464] |
Thomas G. Dietterich and Ryszard S. Michalski.
A comparative review of selected methods of learning from examples.
In Ryszard S. Michalski, Jaime G. Carbonell, and Tom M. Mitchell,
editors, Machine Learning: An Artificial Intelligence Approach, pages
41-81. Tioga, 1983. BibTeX entry |
| [465] |
Thomas G. Dietterich and Nicholas S> Flann.
An inductive approach to solving the imperfect theory problem.
In Proceedings of the American Association for Artificial
Intelligence Spring Symposium Series: Explanation-Based Learning, pages
42-46, Stanford, CA, March 1988. BibTeX entry |
| [466] |
T. G. Dietterich.
Hierarchical reinforcement learning with the maxq value function
decomposition.
Journal of Artificial Intelligence Research, 13:227-303, 2000. BibTeX entry |
| [467] |
T. G. Dietterich.
Ensemble methods in machine learning.
In J. Kittler and F. Roli, editors, Multiple Classifier
Systems, pages 1-15. LNCS Vol. 1857, Springer, 2001. BibTeX entry |
| [468] |
Thomas G. Dietterich, Hermann Hild, and Ghulum Bakiri.
A comparative study of ID3 and backpropagation for English
text-to-speech mapping.
In Proceedings of the Seventh International Conference on
Machine Learning (ICML-90), pages 24-31, Austin, TX, June 1990. BibTeX entry |
| [469] |
Thomas G. Dietterich.
An experimental comparison of three methods for constructing
ensembles of decision trees: Bagging, boosting, and randomization.
Machine Learning, 40(2):139-157, 2000. BibTeX entry |
| [470] |
Thomas G. Dietterich.
Learning at the knowledge level.
Machine Learning, 1:287-316, 1986. BibTeX entry |
| [471] |
Barbara Di Eugenio, Pamella Jordan, Johanna Moore, and Richmond H. Thomason.
An empirical investigation of proposals in collaborative dialogues.
In Proceedings of the 36th Annual Meeting of the Association for
Computational Linguistics and COLING-98 (ACL/COLING-98), pages 325-329,
August 1998. BibTeX entry |
| [472] |
F. J. Diéz.
Local conditioning in Bayesian networks.
Artificial Intelligence, 87:1-20, 1996. BibTeX entry |
| [473] |
F. J. Diéz.
Private communication.
Unpublished, February 1997. BibTeX entry |
| [474] |
F. J. Díez.
Parameter adjustment in Bayes networks. The generalized noisy
OR-gate.
In Proceedings of the Ninth Conference on Uncertainty in
Artificial Intelligence (UAI-93), pages 99-105, 1993. BibTeX entry |
| [475] |
Yannis Dimopoulos and Antonis C. Kakas.
Abduction and inductive learning.
In Luc De Raedt, editor, Advances in Inductive Logic
Programming, pages 144-171. IOS Press, Amsterdam, 1996. BibTeX entry |
| [476] |
A. Doan, P. Domingos, and A. Halevy.
Reconciling schemas of disparate data sources: A machine-learning
approach.
In Proceedings of the 2001 ACM SIGMOD International
Conference on Management of Data, pages 509-520, Santa Barbara, CA,
2001. ACM Press. BibTeX entry |
| [477] |
Jochen Dörre, Peter Gerstl, and Roland Seiffert.
Text mining: Finding nuggets in mountains of textual data.
In Proceedings of the Fifth International Conference on
Knowledge Discovery and Data Mining (KDD-99), pages 398-401, San Diego, CA,
August 1999. ACM.
Short paper. BibTeX entry |
| [478] |
Byron E. Dom.
An information-theoretic external cluster-validity measure.
Research Report RJ 10219, IBM, 2001. BibTeX entry |
| [479] |
Carlotta Domeniconi, Jing Peng, and Dimitrios Gunopulos.
An adaptive metric machine for pattern classification.
In Advances in Neural Information Processing Systems 13, pages
458-464, 2001. BibTeX entry |
| [480] |
C. Domeniconi and D. Gunopulos.
Adaptive nearest neighbor classification using support vector
machines.
In Proceedings of Sixteenth Conference on Neural Information
Processing Systems (NIPS), 2002. BibTeX entry |
| [481] |
Carlotta Domeniconi.
Locally Adaptive Techniques for Pattern Classification.
PhD thesis, University of California, Riverside, Riverside, CA, 2002. BibTeX entry |
| [482] |
F. Provost and P. Domingos.
Well-trained pets: Improving probability estimation trees, 2000. BibTeX entry |
| [483] |
Pedro Domingos.
A unified bias-variance decomposition and its applications.
In Proc. 17th International Conf. on Machine Learning, pages
231-238. Morgan Kaufmann, San Francisco, CA, 2000. BibTeX entry |
| [484] |
Pedro Domingos.
A unified bias-variance decomposition and its applications.
In Proceedings of the Seventeenth International Conference on
Machine Learning (ICML-2000), pages 231-238, San Francisco, CA, 2000. BibTeX entry |
| [485] |
Pedro Domingos and Michael Pazzani.
Beyond independence: conditions for the optimality of the simple
Bayesian classifier.
In Lorenza Saitta, editor, Proceedings of the Thirteenth
International Conference on Machine Learning (ICML-96), pages 105-112.
Morgan Kaufmann, July 1996. BibTeX entry |
| [486] |
P. Domingos.
Knowledge acquisition from examples via multiple models.
In Proceedings of the Fourteenth International Conference
on Machine Learning, pages 98-106, Nashville, TN, 1997. Morgan
Kaufmann. BibTeX entry |
| [487] |
Pedro Domingos.
Unifying instance-based and rule-based induction.
Machine Learning, 24:141-168, 1996. BibTeX entry |
| [488] |
Pedro Domingos and Michael Pazzani.
On the optimality of the simple Bayesian classifier under zero-one
loss.
Machine Learning, 29:103-130, 1997. BibTeX entry |
| [489] |
Guozhu Dong and Jinyan Li.
Interestingness of discovered association rules in terms of
neighborhood-based unexpectedness.
In Proceedings of Second European Symposium on Principles of
Data Mining and Knowledge Discovery(PKDD-98), pages 72-86, 1998. BibTeX entry |
| [490] |
Robert B. Doorenbos, Oren Etzioni, and Daniel S. Weld.
A scalable comparison-shopping agent for the World-Wide Web.
In Proceedings of the First International Conference on
Autonomous Agents (Agents-97), pages 39-48, Marina del Rey, CA, February
1997. BibTeX entry |
| [491] |
John Dowding, Jean Mark Gawron, Doug Appelt, John Bear, Lynn Cherny, Robert
Moore, and Doug Moran.
Gemini: A natural language system for spoken-language
understanding.
In Proceedings of the 31st Annual Meeting of the Association for
Computational Linguistics (ACL-93), June 1993. BibTeX entry |
| [492] |
William F. Dowling and Jean Gallier.
Linear-time algorithms for testing the satisfiability of
propositional Horn formulae.
Journal of Logic Programming, 3:267-284, 1984. BibTeX entry |
| [493] |
David R. Dowty, Robert E. Wall, and Stanley Peters.
Introduction to Montague Semantics.
D. Reidel, Dordrecht, Holland, 1981. BibTeX entry |
| [494] |
John Doyle.
A truth maintenance system.
Artificial Intelligence, 12:231-272, 1979. BibTeX entry |
| [495] |
Richard J. Doyle and Usama M. Fayyad.
Sensor selection techniques in device monitoring.
In Proceedings of the Second Annual Conference on AI, Simulation
and Planning in High Autonomy Systems, pages 154-163. IEEE Computer Society
Press, 1991. BibTeX entry |
| [496] |
Richard J. Doyle, Suzanne M. Sellers, and David J. Atkinson.
A focused, context-sensitive approach to monitoring.
In Proceedings of the Eleventh International Joint Conference on
Artificial Intelligence (IJCAI-89), pages 1231-1237, Detroit, MI, 1989. BibTeX entry |
| [497] |
Richard Doyle.
Hypothesizing Device Mechanisms: Opening Up the Black Box.
PhD thesis, Massachusetts Institute of Technology, 1988. BibTeX entry |
| [498] |
George Drastal, Gabor Czako, and Stan Raatz.
Induction in an abstraction space: A form of constructive
induction.
In Proceedings of the Eleventh International Joint Conference on
Artificial Intelligence (IJCAI-89), pages 708-712, Detroit, MI, August
1989. BibTeX entry |
| [499] |
Elan B. Dresher and Jonathan D. Kaye.
A computational learning model for metrical phonology.
Cognition, 34:137-195, 1990. BibTeX entry |
| [500] |
Oskar Dressler.
Model-based diagnosis on board: Magellan-MT inside.
In Fifth International Workshop on Principles of Diagnosis,
pages 87-92, New Paltz, NY, 1994. BibTeX entry |
| [501] |
Oskar Dressler and Peter Struss.
Model-based diagnosis with the default-based diagnosis engine:
Effective control strategies that work in practice.
In Fifth International Workshop on Principles of Diagnosis,
pages 93-97, New Paltz, NY, 1994. BibTeX entry |
| [502] |
Oskar Dressler and Peter Struss.
Back to defaults: Characterizing and computing diagnoses as coherent
assumption sets.
In Proceedings of the European Conference on Artificial
Intelligence (ECAI), pages 719-723, 1992. BibTeX entry |
| [503] |
Oskar Dressler and Adam Farquhar.
Putting the problem solver back in the driver's seat: Contextual
control of the ATMS.
In Proceedings of the Second Model-Based Reasoning Workshop,
Boston, MA, 1990. BibTeX entry |
| [504] |
Oskar Dressler and Adam Farquhar.
Putting the problem solver back in the driver's seat: Contextual
control of the ATMS.
In J. P. Martins and M. Reinfrank, editors, Truth Maintenance
Systems - ECAI90 Workshop, pages 1-16, Stockholm, Sweden, August 1990.
Springer Verlag. BibTeX entry |
| [505] |
Kurt Driessens and Saso Dzeroski.
Integrating experimentation and guidance in relational
reinforcement learning.
In Proceedings of 19th International Conference on Machine
Learning (ICML-2002), pages 115-122. Morgan Kaufmann Publishers, Inc, 2002.
URL =
http://www.cs.kuleuven.ac.be/cgi-bin-dtai/publ_info.pl?id=38637. BibTeX entry |
| [506] |
Harris Drucker.
Improving regressors using boosting techniques.
In Proc. 14th International Conference on Machine Learning,
pages 107-115. Morgan Kaufmann, 1997. BibTeX entry |
| [507] |
Mark Drummond, John L. Bresina, and Smardar Kedar.
The entropy reduction engine: Integrating planning, scheduling, and
control.
SIGART Bulletin, 4(2), 1991. BibTeX entry |
| [508] |
Shlomo Dubnov, Ran El-Yaniv, Yoram Gdalyahu, Elad Schneidman, Naftali Tishby,
and Golan Yona.
A new nonparametric pairwise clustering algorithm based on iterative
estimation of distance profiles.
Machine Learning, 47(1):35-61, 2002. BibTeX entry |
| [509] |
Richard O. Duda, Peter E. Hart, and David G. Stork.
Pattern Classification.
Wiley, New York, second edition, 2001. BibTeX entry |
| [510] |
Richard O. Duda and Peter E. Hart.
Pattern Classification and Scene Analysis.
Wiley, New York, 1973. BibTeX entry |
| [511] |
Richard O. Duda, David G. Stork, and Peter E. Hart.
Pattern Classification, 2nd ed.
Wiley, New York, NY, 1999. BibTeX entry |
| [512] |
Susan T. Dumais and Hao Chen.
Hierarchical classification of web content.
In Proceedings of 23rd International ACM SIGIR Conference on
Research and Development in Information Retrieval, pages 256-263, 2000. BibTeX entry |
| [513] |
George Dunbar.
The Cognitive Lexicon.
Gunter Narr Verlag, Tubingen, 1991. BibTeX entry |
| [514] |
Rita T. Duran.
Concept learning with incomplete datasets.
Technical Report AI88-82, Artificial Intelligence Laboratory,
University of Texas, Austin, TX, 1988. BibTeX entry |
| [515] |
R. Durbin, S. Eddy, A. Krogh, and G. Mitchison.
Biological Sequence Analysis: Probabilistic Models of Proteins
and Nucleic Acids.
Cambridge University Press, 1998. BibTeX entry |
| [516] |
I. Dutra, D. Page, V. Santos Costa, and J. Shavlik.
An empirical evaluation of bagging in inductive logic programming.
In Proceedings of the Twelfth International Conference on
Inductive Logic Programming, pages 48-65, Sydney, Australia, 2002. BibTeX entry |
| [517] |
Daniel Dvorak and Benjamin J. Kuipers.
Model-based monitoring of dynamic systems.
In Walter Hamscher, Luca Console, and Johan de Kleer, editors,
Readings in Model-Based Diagnosis, pages 249-254. Morgan Kaufmann, San
Mateo, CA, 1992. BibTeX entry |
| [518] |
Daniel Dvorak and Benjamin J. Kuipers.
Model-based monitoring of dynamic systems.
In Proceedings of the Eleventh International Joint Conference on
Artificial Intelligence (IJCAI-89), pages 1238-1243, Detroit, MI, 1989. BibTeX entry |
| [519] |
Daniel Dvorak.
Monitoring and Diagnosis of Continuous Dynamic Systems Using
Semiquantitative Simulation.
PhD thesis, University of Texas, Austin, TX, May 1992. BibTeX entry |
| [520] |
Michael Dyer.
Lexical acquisition through symbol recirculation in distributed
connectionist networks.
In Uri Zernik, editor, Lexical Acquisition: Exploiting On-Line
Resources to Build a Lexicon, pages 309-337. Lawrence Erlbaum and
Associates, Hillsdale, NJ, 1991. BibTeX entry |
| [521] |
Michael Dyer.
In Depth Understanding.
MIT Press, Cambridge, MA, 1983. BibTeX entry |
| [522] |
S. Dzeroski.
Handling noise in inductive logic programming.
Master's thesis, Faculty of Electrical Engineering and Computer
Science, University of Ljubljana, 1991. BibTeX entry |
| [523] |
Saso Dzeroski and Nada Lavrac.
An introduction to inductive logic programming.
In Saso Dzeroski and Nada Lavrac, editors,
Relational Data Mining. Springer Verlag, Berlin, 2001. BibTeX entry |
| [524] |
Saso Dzeroski.
Relational data mining applications: An overview.
In Saso Dzeroski and Nada Lavrac, editors,
Relational Data Mining. Springer Verlag, Berlin, 2001. BibTeX entry |
| [525] |
Saso Dzeroski and Nada Lavrac, editors.
Relational Data Mining.
Springer Verlag, Berlin, 2001. BibTeX entry |
| [526] |
Saso Dzeroski, Stephen Muggleton, and Stuart Russell.
Pac-learnability of determinate logic programs.
In Proceedings of the 1992 Workshop on Computational Learning
Theory, Pittsburgh, PA, 1992. BibTeX entry |
| [527] |
Saso Dzeroski and Ljupco Todorovski.
Discovering dynamics: From inductive logic programming to machine
discovery.
In Knowledge Discovery in Databases Workshop, 1993. BibTeX entry |
| [528] |
Saso Dzeroski, Luc De Raedt, and Kurt Driessens.
Relational reinforcement learning.
Machine Learning, 43:7-52, 2001.
URL =
http://www.cs.kuleuven.ac.be/cgi-bin-dtai/publ_info.pl?id=34461. BibTeX entry |
| [529] |
Catherine H. Echols.
The identification of words and their meanings in the transition into
language.
In 11th Biennial International Conference on Infant Studies,
Atlanta, GA, April 1998. BibTeX entry |
| [530] |
Catherine H. Echols, Megan J. Crowhurst, and Jane B. Childers.
The perception of rhythmic units in speech by infants and adults.
Journal of Memory and Language, 36:202-225, 1997. BibTeX entry |
| [531] |
Catherine H. Echols.
Early lexical development: Initial steps in the identification of
words and word meanings.
Manuscript, University of Texas, 1998. BibTeX entry |
| [532] |
Andrjez Ehrenfeucht, David Haussler, Michael J. Kearns, and Leslie G. Valiant.
A general lower bound on the number of examples needed for learning.
Information and Computation, 82:267-284, 1989. BibTeX entry |
| [533] |
Martin Eineborg and Nikolaj Lindberg.
Induction of constraint grammar-rules using Progol.
In Proceedings of the 8th International Workshop on Inductive
Logic Programming (ILP-98), pages 116-124. Springer, 1998. BibTeX entry |
| [534] |
Magdalini Eirinaki and Michalis Vazirgiannis.
Web mining for web personalization.
ACM Transactions on Internet Technology, 3(1):1-27, February
2003. BibTeX entry |
| [535] |
Kurt P. Eiselt.
Recovering from erroneous inferences.
In Proceedings of the Sixth National Conference on Artificial
Intelligence (AAAI-87), pages 540-544, Seattle, Washington, 1987. BibTeX entry |
| [536] |
Michael B. Eisen, Paul T. Spellman, Patrick O. Brown, and David Botstein.
Cluster analysis and display of genome-wide expression patterns.
Proceedings of the National Academy of Sciences, USA,
95:14863-14848, 1998. BibTeX entry |
| [537] |
T. Eliassi-Rad and J. Shavlik.
A theory-refinement approach to information extraction.
In Proceedings of 18th International Conference on Machine
Learning (ICML-2001), 2001. BibTeX entry |
| [538] |
T. Eliassi-Rad and J. W. Shavlik.
A system for building intelligent agents that learn to retrieve and
extract information.
International Journal on User Modeling and User-Adapted
Interaction, Special Issue on User Modeling and Intelligent Agents, in
press, 2003. BibTeX entry |
| [539] |
Clarence A. Ellis.
Probabilistic Languages and Automata.
PhD thesis, University of Illinois, 1969.
Report No. 355, Department of Computer Science. BibTeX entry |
| [540] |
Thomas Ellman.
Approximate theory formation: An explanation-based approach.
In Proceedings of the Seventh National Conference on Artificial
Intelligence (AAAI-88), pages 564-569, St. Paul, MN, August 1988. BibTeX entry |
| [541] |
Jeffrey L. Elman.
Finding structure in time.
Cognitive Science, 14:179-211, 1990. BibTeX entry |
| [542] |
Arthur S. Elstein, Lee S. Shulman, and Sarah A. Sprafka.
Medical Problem Solving - An Analysis of Clinical Reasoning.
Harvard University Press, 1978. BibTeX entry |
| [543] |
Ulrich Engel.
Deutsche Grammatik.
Julius Groos Verlag, Heidelberg, 1988. BibTeX entry |
| [544] |
Sean P. Engelson and Ido Dagan.
Minimizing manual annotation cost in supervised training from
corpora.
In Proceedings of the 34th Annual Meeting of the Association for
Computational Linguistics (ACL-96), pages 319-326, Santa Cruz, CA, 1996. BibTeX entry |
| [545] |
K. Anders Ericsson and Herbert A. Simon.
Protocol Analysis: Verbal Reports as Data (rev. ed.).
MIT Press, Cambridge, MA, 1993. BibTeX entry |
| [546] |
Kutluhan Erol, Dana S. Nau, and James A. Hendler.
HTN planning: Complexity and expressivity.
In Proceedings of the Twelfth National Conference on Artificial
Intelligence (AAAI-94), pages 1123-1128, Seattle, July 1994. BibTeX entry |
| [547] |
Kutluhan Erol, Dana S. Nau, and James A. Hendler.
UMCP: A sound and complete planning procedure for hierarchical
task-network planning.
In Proceedings of the Second International Conference of AI
Planning Systems, Chicago, June 1994. BibTeX entry |
| [548] |
Tara A. Estlin and Raymond J. Mooney.
Multi-strategy learning of search control for partial-order planning.
In Proceedings of the Thirteenth National Conference on
Artificial Intelligence (AAAI-96), pages 843-848, Portland, OR, August
1996. BibTeX entry |
| [549] |
Tara A. Estlin and Raymond J. Mooney.
Hybrid learning of search control for partial-order planning.
In Malik Ghallab and Alfredo Milani, editors, New Directions in
AI Planning, pages 129-140. IOS Press, Amsterdam, 1996. BibTeX entry |
| [550] |
Tara A. Estlin and Raymond J. Mooney.
Learning to improve both efficiency and quality of planning.
In Proceedings of the Fifteenth International Joint Conference
on Artificial Intelligence (IJCAI-97), pages 1227-1232, Nagoya, Japan,
1997. BibTeX entry |
| [551] |
Tara Estlin, XueMei Wang, Anita Govindjee, and Steve Chien.
DPLAN deep space network antenna operations planner version 1.0
programmer's manual.
Technical Report D-13390, NASA Jet Propulsion Laboratory, 1996. BibTeX entry |
| [552] |
Tara A. Estlin.
Using Multi-Strategy Learning to Improve Planning Efficiency and
Quality.
PhD thesis, Department of Computer Sciences, University of Texas,
Austin, TX, May 1998.
Also appears as Artificial Intelligence Laboratory Technical Report
AI 98-269 (see http://www.cs.utexas.edu/users/ai-lab). BibTeX entry |
| [553] |
Tara A. Estlin.
Integrating explanation-based and inductive learning techniques to
acquire search-control for planning.
Technical Report AI96-250, Department of Computer Sciences,
University of Texas, Austin, TX, 1996. BibTeX entry |
| [554] |
Oren Etzioni.
STATIC: A problem-space compiler for PRODIGY.
In Proceedings of the Ninth National Conference on Artificial
Intelligence (AAAI-91), pages 533-540, Anaheim, CA, 1991. BibTeX entry |
| [555] |
Oren Etzioni.
Acquiring search control knowledge via static analysis.
Artificial Intelligence, 60(2), 1993. BibTeX entry |
| [556] |
Oren Etzioni.
The World-Wide Web: Quagmire or gold mine?
Communications of the Association for Computing Machinery,
39(11):65-68, November 1996. BibTeX entry |
| [557] |
Oren Etzioni.
Hypothesis filtering: A practical approach to reliable learning.
In Proceedings of the Fifth International Conference on Machine
Learning (ICML-88), pages 416-429, Ann Arbor, MI, June 1988. BibTeX entry |
| [558] |
Oren Etzioni and Ruth Etzioni.
Statistical methods for analyzing speedup learning experiments.
Machine Learning, in press. BibTeX entry |
| [559] |
Joel L. Fagan.
The effectiveness of a nonsyntactic approach to automatic phrase
indexing for document retrieval.
Journal of the American Society for Information Science,
40:115-132, 1989. BibTeX entry |
| [560] |
Scott E. Fahlman and Christian Lebiere.
The cascade-correlation learning architecture.
In Advances in Neural Information Processing Systems, 2, pages
524-532, San Mateo, CA, November 1989. Morgan Kaufmann. BibTeX entry |
| [561] |
Brian C. Falkenhainer and Ryszard Michalski.
Integrating quantitative and qualitative discovery: The ABACUS
system.
Machine Learning, 1:367-401, 1986. BibTeX entry |
| [562] |
Brian C. Falkenhainer.
A unified approach to explanation and theory formation.
In Jeff Shrager and Pat Langley, editors, Computational Models
of Scientific Discovery and Theory Formation, pages 157-196. Morgan
Kaufmann, 1990. BibTeX entry |
| [563] |
Brian C. Falkenhainer.
Learning from Physical Analogies: A Study in Analogy and the
Explanation Process.
PhD thesis, University of Illinois at Urbana-Champaign, 1988. BibTeX entry |
| [564] |
Hugh Fargher and Richard Smith.
Planning in a flexible semiconductor manufacturing environment.
In Monte Zweben and Mark Fox, editors, Intelligent Scheduling,
pages 545-580. Morgan Kaufmann, San Francisco, CA, 1994. BibTeX entry |
| [565] |
Adam Farquhar.
Automated Modeling of Physical Systems in the Presence of
Incomplete Knowledge.
PhD thesis, Artificial Intelligence Laboratory, University of Texas,
1993.
Technical Report AI93-207. BibTeX entry |
| [566] |
Usama M. Fayyad, Gregory Piatetsky-Shapiro, and Padhraic Smyth.
From data mining to knowledge discovery.
In Usama M. Fayyad, Gregory Piatetsky-Shapiro, Padhraic Smyth, and
Ramasamy Uthurusamy, editors, Advances in Knowledge Discovery and Data
Mining, pages 1-34. MIT Press, Cambridge, Mass., 1996. BibTeX entry |
| [567] |
Usama M. Fayyad.
Learning logical definitions from relations.
Data Engineering, 21(1):39-48, 1998. BibTeX entry |
| [568] |
Usama M. Fayyad, Cory Reina, and P. S. Bradley.
Initialization of iterative refinement clustering algorithms.
In Proceedings of the Fourth International Conference on
Knowledge Discovery and Data Mining (KDD-98), pages 194-198, 1998. BibTeX entry |
| [569] |
Usama M. Fayyad, Nicholas Weir, and S. George Djorgovski.
SKICAT: A machine learning system for automated cataloging of
large scale sky surveys.
In Proceedings of the Tenth International Conference on Machine
Learning (ICML-93), pages 112-119, Amherst, MA, June 1993. BibTeX entry |
| [570] |
Usama M. Fayyad and Keki B. Irani.
On the handling of continuous-valued attributes in decision tree
generation.
Machine Learning, 8(1):87-102, 1992. BibTeX entry |
| [571] |
V. Federov.
Theory of optimal experiments.
Academic Press, 1972. BibTeX entry |
| [572] |
Jerome Feldman, George Lakoff, Andreas Stolcke, and Susan Weber.
Miniature language acquisition: A touchstone for cognitive science.
In Proceedings of the Twelfth Annual Conference of the Cognitive
Science Society, pages 686-693, Cambridge, MA, 1990. BibTeX entry |
| [573] |
Ronen Feldman, editor.
Proceedings of the Sixteenth International Joint Conference on
Artificial Intelligence (IJCAI-99) Workshop on Text Mining: Foundations,
Techniques and Applications, Stockholm, Sweden, August 1999. BibTeX entry |
| [574] |
Ronen Feldman and Ido Dagan.
Knowledge discovery in textual databases (KDT).
In Proceedings of the First International Conference on
Knowledge Discovery and Data Mining (KDD-95), pages 112-117, Montreal,
Canada, 1995. BibTeX entry |
| [575] |
Ronen Feldman and Haym Hirsh.
Mining associations in text in the presence of background knowledge.
In Proceedings of the Second International Conference on
Knowledge Discovery and Data Mining (KDD-96), pages 343-346, Portland, OR,
August 1996. BibTeX entry |
| [576] |
Ronen Feldman, Alberto Maria Segre, and Moshe Koppel.
Incremental refinement of approximate domain theories.
In Proceedings of the Eighth International Workshop on Machine
Learning, pages 500-504, Evanston, IL, June 1991. BibTeX entry |
| [577] |
Jerome Feldman, George Lakoff, and Lokendra Shastri.
The neural theory of language project
http://www.icsi.berkeley.edu/ntl.
International Computer Science Institute, University of California,
Berkeley, CA, 1995. BibTeX entry |
| [578] |
Ronen Feldman, Moshe Fresko, Haym Hirsh, Yonatan Aumann, Orly Liphstat, Yonatan
Schler, and Martin Rajman.
Knowledge management: A text mining approach.
In Ulrich Reimer, editor, Proceedings of Second International
Conference on Practical Aspects of Knowledge Management (PAKM-98), pages
9.1-9.10, Basel, Switzerland, October 1998. BibTeX entry |
| [579] |
Ronen Feldman.
Probabilistic Revision of Logical Domain Theories.
PhD thesis, Department of Computer Science, Cornell University,
Ithaca, NY, May 1993. BibTeX entry |
| [580] |
Christiane D. Fellbaum.
WordNet: An Electronic Lexical Database.
MIT Press, Cambridge, MA, 1998. BibTeX entry |
| [581] |
I. P. Fellegi and A. B. Sunter.
A theory for record linkage.
Journal of the American Statistical Association,
64(328):1183-1210, December 1969. BibTeX entry |
| [582] |
Xiaoli Fern and Carla Brodley.
Random projection for high dimensional data clustering: A cluster
ensemble approach.
In Proceedings of 20th International Conference on Machine
Learning (ICML-2003), 2003. BibTeX entry |
| [583] |
Richard E. Fikes and Nils J. Nilsson.
STRIPS: A new approach to the application of theorem proving to
problem solving.
Artificial Intelligence, 2(3/4), 1971. BibTeX entry |
| [584] |
Richard E. Fikes, Peter E. Hart, and Nils J. Nilsson.
Learning and executing generalized robot plans.
Artificial Intelligence, 3(4):251-288, 1972. BibTeX entry |
| [585] |
Charles J. Fillmore.
The case for case.
In E. Bach and R. T. Harms, editors, Universals in Linguistic
Theory. Holt, Reinhart and Winston, New York, 1968. BibTeX entry |
| [586] |
Charles J. Fillmore, Baker, Collin F., and Hiroaki Sato.
The FrameNet database and software tools.
In Proceedings of the Third International Conference on Language
Resources and Evaluation (LREC), pages 1157-1160, Las Palmas, 2000. BibTeX entry |
| [587] |
Michal Finkelstein-Landau and Emmanuel Morin.
Extracting semantic relationships between terms: Supervised vs.
unsupervised methods.
In Proceedings of International Workshop on Ontological
Engineering on the Global Information Infrastructure, pages 71-80, Dagstuhl
Castle, Germany, May 1999. BibTeX entry |
| [588] |
Theodore Wilbur Anderson and Jeremy D. Finn.
The New Statistical Analysis of Data.
Springer Verlag, New York, 1996. BibTeX entry |
| [589] |
Paul W. Finn, Stephen Muggleton, David Page, and Ashwin Srinivasan.
Pharmacophore discovery using the inductive logic programming system
PROGOL.
Machine Learning, 30(2-3):241-270, 1998. BibTeX entry |
| [590] |
Cynthia Fisher.
When it is better to receive than to give: Syntactic and conceptual
constraints on vocabulary growth.
In L. Gleitman and B. Landau, editors, The Acquisition of the
Lexicon, pages 333-375. MIT Press, Cambridge, MA, 1994. BibTeX entry |
| [591] |
R. A. Fisher.
The use of multiple measurements in taxonomic problems.
Annual Eugenics, 7:179-188, 1936. BibTeX entry |
| [592] |
Douglas H. Fisher and Kathleen B. McKusick.
An empirical comparison of ID3 and backpropagation.
In Proceedings of the Eleventh International Joint Conference on
Artificial Intelligence (IJCAI-89), pages 788-793, Detroit, MI, August
1989. BibTeX entry |
| [593] |
Douglas H. Fisher.
Knowledge acquisition via incremental conceptual clustering.
Machine Learning, 2:139-172, 1987. BibTeX entry |
| [594] |
Nicholas S. Flann and Thomas G. Dietterich.
A study of explanation-based methods for inductive learning.
Machine Learning, 4(2):187-226, 1989. BibTeX entry |
| [595] |
Nicholas S. Flann and Thomas G. Dietterich.
A study of explanation-based methods for inductive learning.
Technical Report 88-30-11, DCS, Oregon State University, Corvallis,
OR, 1988. BibTeX entry |
| [596] |
Pierre Flener.
Inductive logic program synthesis with DIALOGS.
In Stephen Muggleton, editor, Inductive Logic Programming:
Selected papers from the 6th International Workshop, pages 175-198.
Springer Verlag, Berlin, 1997. BibTeX entry |
| [597] |
Kenneth D. Forbus and Johan de Kleer.
Focusing the ATMS.
In Proceedings of the Seventh National Conference on Artificial
Intelligence (AAAI-88), pages 193-198, St. Paul, Minnesota, 1988. BibTeX entry |
| [598] |
Kenneth D. Forbus.
Qualitative process theory.
Artificial Intelligence, 24:85-168, 1984. BibTeX entry |
| [599] |
Kenneth D. Forbus and Johan de Kleer.
Building Problem Solvers.
MIT Press, Cambridge, Massachusetts, 1993. BibTeX entry |
| [600] |
David E. Foulser, Ming Li, and Qiang Yang.
Theory and algorithms for plan merging.
Artificial Intelligence, 52:143-181, 1992. BibTeX entry |
| [601] |
William B. Frakes and Ricardo A. Baeza-Yates, editors.
Information Retrieval: Data Structures and Algorithms.
Prentice Hall, 1992. BibTeX entry |
| [602] |
W. Nelson Francis and Henry Kucera.
Frequency Analysis of English Usage: Lexicon and Grammar.
Houghton Mifflin, Boston, 1982. BibTeX entry |
| [603] |
David W. Franke and Daniel Dvorak.
Component-connection models.
In Model-Based Reasoning Workshop: IJCAI-89, Detroit, Michigan,
August 1989. BibTeX entry |
| [604] |
Marcus Frean.
The Upstart algorithm: A method for constructing and training
feedforward neural networks.
Neural Computation, 2:198-209, 1990. BibTeX entry |
| [605] |
Dayne Freitag and Nicholas Kushmerick.
Boosted wrapper induction.
In Proceedings of the Seventeenth National Conference on
Artificial Intelligence (AAAI-2000), pages 577-583, Austin, TX, July 2000.
AAAI Press / The MIT Press. BibTeX entry |
| [606] |
Dayne Freitag and Andrew McCallum.
Information extraction with HMM structures learned by stochastic
optimization.
In Proceedings of the Seventeenth National Conference on
Artificial Intelligence (AAAI-2000), Austin, TX, 2000. AAAI Press / The MIT
Press. BibTeX entry |
| [607] |
Dayne Freitag.
Information extraction from HTML: Application of a general learning
approach.
In Proceedings of the Fifteenth National Conference on
Artificial Intelligence (AAAI-98), pages 517-523, Madison, WI, July 1998.
AAAI Press / The MIT Press. BibTeX entry |
| [608] |
Dayne Freitag.
Toward general-purpose learning for information extraction.
In Proceedings of the 36th Annual Meeting of the Association for
Computational Linguistics and COLING-98 (ACL/COLING-98), pages 404-408,
Montreal, Quebec, 1998. BibTeX entry |
| [609] |
Dayne Freitag and Andrew McCallum.
Information extraction with HMMs and shrinkage.
In Papers from the Sixteenth National Conference on Artificial
Intelligence (AAAI-99) Workshop on Machine Learning for Information
Extraction, pages 31-36, Orlando, FL, 1999. BibTeX entry |
| [610] |
Dayne Freitag.
Multi-strategy learning for information extraction.
In Proceedings of the Fifteenth International Conference on
Machine Learning (ICML-98), pages 161-169, Madison, WI, July 1998. BibTeX entry |
| [611] |
Dayne Freitag.
Using grammatical inference to improve precision in information
extraction.
In Working Notes of the ICML-97 Workshop on Automata Induction,
Grammatical Inference and Language Acquisition, Nashville, TN, July 1997. BibTeX entry |
| [612] |
Y. Freund and R. E. Schapire.
Experiments with a new boosting algorithm.
In Proceedings of the Thirteenth International Conference
on Machine Learning, pages 148-156, Bari, Italy, 1996. Morgan Kaufmann. BibTeX entry |
| [613] |
Y. Freund and L. Mason.
The alternating decision tree learning algorithm.
In Proceedings of the Sixteenth International Conference on
Machine Learning (ICML-99), Bled, Slovenia, 1999. BibTeX entry |
| [614] |
Yoav Freund and Robert E. Schapire.
Experiments with a new boosting algorithm.
In Lorenza Saitta, editor, Proceedings of the Thirteenth
International Conference on Machine Learning (ICML-96). Morgan Kaufmann,
July 1996. BibTeX entry |
| [615] |
Yoav Freund, Raj Iyer, Robert E. Schapire, and Yoram Singer.
An efficient boosting algorithm for combining preferences.
In Jude W. Shavlik, editor, Proceedings of ICML-98, 15th
International Conference on Machine Learning, pages 170-178, Madison, US,
1998. Morgan Kaufmann Publishers, San Francisco, US. BibTeX entry |
| [616] |
Yoav Freund, H. Sebastian Seung, Eli Shamir, and Naftali Tishby.
Selective sampling using the query by committee algorithm.
Machine Learning, 28:133-168, 1997. BibTeX entry |
| [617] |
F. R. Kschischang, B. Frey, and H.-A. Loeliger.
Factor graphs and the sum-product algorithm.
IEEE Transactions on Information Theory, 47(2):498-519, 2001. BibTeX entry |
| [618] |
Nir Friedman and Moises Goldszmidt.
Building classifiers using Bayesian networks.
In Proceedings of the Thirteenth National Conference on
Artificial Intelligence (AAAI-96), pages 1277-1284, August 1996. BibTeX entry |
| [619] |
J. H. Friedman.
Multivariate adaptive regression splines.
The Annals of Statistics, 19:1-141, 1991. BibTeX entry |
| [620] |
C. Friedman, P. Kra, H. Yu, M. Krauthammer, and A. Rzhetsky.
GENIES: A natural-language processing system for the extraction of
molecular pathways from journal articles.
Bioinformatics, 17:S74-S82, 2001.
Supplement 1. BibTeX entry |
| [621] |
Jerome H. Friedman.
On bias, variance, 0/1-loss, and the curse-of-dimensionality.
Data Mining and Knowledge Discovery, 1(1):55-77, 1997. BibTeX entry |
| [622] |
Nir Friedman, Moises Goldszmidt, David Heckerman, and S. Russell.
Challenge: What is the impact of Bayesian networks on learning?
In Proceedings of the Fifteenth International Joint Conference
on Artificial Intelligence (IJCAI-97), pages 10-15, Nagoya, Japan, 1997. BibTeX entry |
| [623] |
Nir Friedman, Lise Getoor, Daphne Koller, and Avi Pfeffer.
Learning probabilistic relational models.
In Proceedings of the Sixteenth International Joint Conference
on Artificial Intelligence (IJCAI-99), Stockholm, Sweden, 1999. BibTeX entry |
| [624] |
Jerome H. Friedman.
On bias, variance, 0/1-loss, and the curse-of-dimensionality.
Data Mining and Knowledge Discovery, 1(1):55-77, 1997. BibTeX entry |
| [625] |
Jerome H. Friedman, Jon Louis Bentley, and Raphael A. Finkel.
An algorithm for finding best matches in logarithmic expected time.
ACM Transactions on Mathematical Software, 3(3):209-226, 1977. BibTeX entry |
| [626] |
J. Friedman.
Flexible metric nearest neighbor classification.
Technical Report 113, Stanford University Statistics Department,
1994. BibTeX entry |
| [627] |
Li-Min Fu.
Integration of neural heuristics into knowledge-based inference.
Connection Science, 1(3):325-339, 1989. BibTeX entry |
| [628] |
Li Min Fu.
Knowledge-based connectionism for revising domain theories.
IEEE Transactions on Systems, Man, and Cybernetics,
23(1):173-182, 1993. BibTeX entry |
| [629] |
Li Min Fu, editor.
Proceedings of the International Symposium on Integrating
Knowledge and Neural Heuristics, May 1994. BibTeX entry |
| [630] |
Atsushi Fujii, Kentaro Inui, Takenobu Tokunaga, and Hozumi Tanaka.
Selective sampling for example-based word sense disambiguation.
Computational Linguistics, 24(4):573-598, 1998. BibTeX entry |
| [631] |
K. Fukuda, T. Tsunoda, A. Tamura, and T. Takagi.
Information extraction: Identifying protein names from biological
papers.
In Proceedings of the 3rd Pacific Symposium on Biocomputing,
pages 707-718, 1998. BibTeX entry |
| [632] |
Fumiyo Fukumoto and Jun'ichi Tsujii.
Representation and acquisition of verbal polysemy.
In Papers from the 1995 AAAI Symposium on the Representation and
Acquisition of Lexical Knowledge: Polysemy, Ambiguity, and Generativity,
pages 39-44, Stanford, CA, March 1995. BibTeX entry |
| [633] |
Robert Fung and Brendan Del Favero.
Applying Bayesian networks to information retrieval.
Communications of the Association for Computing Machinery,
38(3):42-48, March 1995. BibTeX entry |
| [634] |
G. M. Fung, O. L. Mangasarian, and J. W. Shavlik.
Knowledge-based nonlinear kernel classifiers.
In Proceedings of the 16th Annual Conference on Computational
Learning Theory (COLT), 2003. BibTeX entry |
| [635] |
G. M. Fung, O. L. Mangasarian, and J. W. Shavlik.
Knowledge-based support vector machine classifiers.
In Proceedings of Sixteenth Conference on Neural Information
Processing Systems (NIPS). MIT Press, 2002. BibTeX entry |
| [636] |
Johannes Fürnkranz, Tom Mitchell, and Ellen Riloff.
A case study in using linguistic phrases for text categorization on
the WWW.
In Papers from the AAAI-98 Workshop on Text Categorization,
pages 5-12, Madison, WI, 1998. BibTeX entry |
| [637] |
William A. Gale and Kenneth Ward Church.
A program for aligning sentences in bilingual corpora.
In Proceedings of the 29th Annual Meeting of the Association for
Computational Linguistics (ACL-91), pages 177-184, 1991. BibTeX entry |
| [638] |
William A. Gale, Kenneth Ward Church, and David Yarowsky.
Estimating upper and lower bounds on the performance of word-sense
disambiguation programs.
In Proceedings of the 30th Annual Meeting of the Association for
Computational Linguistics (ACL-92), pages 249-256, Newark, Delaware, 1992. BibTeX entry |
| [639] |
William A. Gale, Kenneth Ward Church, and David Yarowsky.
A method for disambiguating word senses in a large corpus.
Computers and the Humanities, 26:415-439, 1992. BibTeX entry |
| [640] |
William A. Gale and Kenneth Ward Church.
Identifying word correspondences in parallel texts.
In Proceedings of the Fourth DARPA Speech and Natural Language
Workshop, 1991. BibTeX entry |
| [641] |
Helena Galhardas, Daniela Florescu, Dennis Shasha, Eric Simon, and Cristian
Saita.
Declarative data cleaning: Language, model, and algorithms.
In Proceedings of the 27th International Conference on Very
Large Databases (VLDB-2001), pages 371-380, Rome, Italy, 2001. BibTeX entry |
| [642] |
Stephen I. Gallant.
Connectionist expert systems.
Communications of the Association for Computing Machinery,
31:152-169, 1988. BibTeX entry |
| [643] |
Stephen I. Gallant.
The pocket algorithm for perceptron learning.
Technical Report SG-85-19, Northeastern University College of
Computer Science, 1985. BibTeX entry |
| [644] |
Peter Gärdenfors.
Knowledge In Flux: Modeling the Dynamics of Epistemic States.
MIT Press, Cambridge, MA, 1988. BibTeX entry |
| [645] |
Peter Gärdenfors, editor.
Belief Revision.
Cambridge Tracts in Theoretical Computer Science. Cambridge
University Press, Cambridge, England, 1992. BibTeX entry |
| [646] |
Michael Garey and David Johnson.
Computers and Intractability: A Guide to the Theory of
NP-Completeness.
Freeman, New York, NY, 1979. BibTeX entry |
| [647] |
M. R. Garey, D. S. Johnson, and H. S. Witsenhausen.
The complexity of the generalized Lloyd-max problem.
IEEE Transactions on Information Theory, 28(2):255-256, 1982. BibTeX entry |
| [648] |
Gerald Gazdar and Chris Mellish.
Natural Language Processing in Prolog.
Addison-Wesley, New York, 1989. BibTeX entry |
| [649] |
Gerald Gazdar, Ewan Klein, Geoffrey K. Pullum, and Ivan A. Sag.
Generalized Phrase Structure Grammar.
Harvard University Press, Cambridge, MA, 1982. BibTeX entry |
| [650] |
Dan Geiger, Azaria Paz, and Judea Pearl.
Learning causal trees from dependence information.
In Proceedings of the Eighth National Conference on Artificial
Intelligence (AAAI-90), pages 770-776, Boston,MA, August 1990. BibTeX entry |
| [651] |
Boris Gelfand, Marilyn Wulfekuler, and William F. Punch.
Automated concept extraction from plain text.
In Papers from the AAAI-98 Workshop on Text Categorization,
pages 13-17, Madison, WI, 1998. BibTeX entry |
| [652] |
Stuart Geman and Donald Geman.
Stochastic relaxation, Gibbs distributions and the Bayesian
restoration of images.
IEEE Transactions on Pattern Analysis and Machine Intelligence,
6:721-742, 1984. BibTeX entry |
| [653] |
Michael R. Genesereth.
The use of design descriptions in automated diagnosis.
Artificial Intelligence, 24:411-436, 1984. BibTeX entry |
| [654] |
John H. Gennari, Pat Langley, and Douglas Fisher.
Models of incremental concept formation.
Artificial Intelligence, 40:11-61, 1989. BibTeX entry |
| [655] |
Donald R. Gentner.
Why nouns are learned before verbs: Linguistic relativity versus
natural partitioning.
In Stan A. Kuczaj, editor, Language development: Volume 2,
Language, thought and culture, pages 301-334. Erlbaum, Hillsdale, NJ, 1982. BibTeX entry |
| [656] |
Lise Getoor and David Jensen, editors.
Papers from the AAAI Workshop on Learning Statistical Models
from Relational Data, Austin, TX, 2000. AAAI Press. BibTeX entry |
| [657] |
Z. Ghahramani and M. I. Jordan.
Supervised learning from incomplete data via the EM approach.
In Advances in Neural Information Processing Systems 6, pages
120-127, 1994. BibTeX entry |
| [658] |
Rayid Ghani and Andrew E. Fano.
Using text mining to infer semantic attirbutes for retail data
mining.
In Proceedings of the 2002 IEEE International Conference on Data
Mining (ICDM-2002), pages 195-202, Maebash City, Japan, December 2002. IEEE
Computer Society. BibTeX entry |
| [659] |
Rayid Ghani, Rosie Jones, Dunja Mladenic, Kamal Nigam, and Sean Slattery.
Data mining on symbolic knowledge extracted from the Web.
In Dunja Mladenic, editor, Proceedings of the Sixth
International Conference on Knowledge Discovery and Data Mining (KDD-2000)
Workshop on Text Mining, pages 29-36, Boston, MA, August 2000. BibTeX entry |
| [660] |
Yolanda Gil.
A specification of manufacturing processes for planning.
Technical Report CMU-CS-91-179, School of Computer Science, Carnegie
Mellon University, Pittsburgh, PA, 1991. BibTeX entry |
| [661] |
D. Gildea and D. Jurafsky.
Automated labeling of semantic roles.
Computational Linguistics, 28(3):245-288, 2002. BibTeX entry |
| [662] |
C. Lee Giles, Kurt Bollacker, and Steve Lawrence.
CiteSeer: An automatic citation indexing system.
In Proceedings of the Third ACM Conference on Digital
Libraries, pages 89-98, Pittsburgh, PA, June 23-26 1998. BibTeX entry |
| [663] |
David Gilmore and John Self.
The application of machine learning to intelligent tutoring systems.
In John Self, editor, Artificial Intelligence and Human
Learning, chapter 11. Chapman and Hall, New York, NY, 1988. BibTeX entry |
| [664] |
Allen Ginsberg.
Theory revision via prior operationalization.
In Proceedings of the Seventh National Conference on Artificial
Intelligence (AAAI-88), pages 590-595, St. Paul, MN, August 1988. BibTeX entry |
| [665] |
Allen Ginsberg.
Knowlege-base reduction: A new apporach to checking knowledge bases
for inconsistency & redundancy.
In Proceedings of the Seventh National Conference on Artificial
Intelligence (AAAI-88), pages 585-589, St. Paul, MN, August 1988. BibTeX entry |
| [666] |
Allen Ginsberg.
Theory reduction, theory revision, and retranslation.
In Proceedings of the Eighth National Conference on Artificial
Intelligence (AAAI-90), pages 777-782, Detroit, MI, July 1990. BibTeX entry |
| [667] |
Allen Ginsberg, Sholom M. Weiss, and Peter Politakis.
Automatic knowledge based refinement for classification systems.
Artificial Intelligence, 35:197-226, 1988. BibTeX entry |
| [668] |
Matthew L. Ginsberg.
A circumscriptive theorem prover.
Artificial Intelligence, 39:209-230, 1989. BibTeX entry |
| [669] |
Allen Ginsberg.
Knowledge base refinement and theory revision.
In Proceedings of the Sixth International Workshop on Machine
Learning, pages 260-265, Ithaca, NY, June 1989. BibTeX entry |
| [670] |
M. Botta and A. Giordana.
A multi-strategy learning tool.
In Proceedings of the International Joint Conferences on
Artificial Intelligence 1993. Springer-Verlag, 1993. BibTeX entry |
| [671] |
L. Gleitman and B. Landau, editors.
The Acquisition of the Lexicon.
MIT Press, Cambridge, MA, 1994. BibTeX entry |
| [672] |
Lila R. Gleitman.
Structural sources of verb meaning.
Language Acquisition, 1:3-55, 1990. BibTeX entry |
| [673] |
Clarke Glymour and Peter Spirtes.
Latent variables, causal models and overidentifying constraints.
Journal of Econometrics, 39:175-198, 1988. BibTeX entry |
| [674] |
J. J. Godfrey, E. C. Holliman, and J. McDaniel.
SWITCHBOARD: Telephone speech corpus for research and development.
In Proceedings of the IEEE International Conference on
Acoustics, Speech and Signal Processing, volume I, pages 517-520, San
Francisco, March 1992. BibTeX entry |
| [675] |
Jeremy Goecks and Jude Shavlik.
Learning users' interests by unobtrusively observing their normal
behavior.
In Proceedings of the 2000 Conference on Intelligent User
Interfaces, pages 129-132, New Orleans, 2000. ACM Press. BibTeX entry |
| [676] |
David Goldberg, David Nichols, Brian M. Oki, and Douglas Terry.
Using collaborative filtering to weave an information tapestry.
Communications of the Association for Computing Machinery,
35(12):61-70, 1992. BibTeX entry |
| [677] |
Susan Goldin-Meadow and Carolyn Mylander.
Beyond the input given: The child's role in the acquisition of
language.
Language, 66:323-355, 1990. BibTeX entry |
| [678] |
Susan Goldin-Meadow and Heidi Feldman.
The development of language-like communication without a language
model.
Science, 197:372-374, 1977. BibTeX entry |
| [679] |
Andrew R. Golding and Paul S. Rosenbloom.
Improving rule-based systems through case-based reasoning.
In Proceedings of the Ninth National Conference on Artificial
Intelligence (AAAI-91), pages 22-27, Anaheim, CA, July 1991. BibTeX entry |
| [680] |
Andrew R. Golding and Dan Roth.
A winnow-based approach to context-sensitive spelling correction.
Machine Learning, 34:107-130, 1999. BibTeX entry |
| [681] |
Robert P. Goldman and Eugene Charniak.
A probabilistic ATMS for plan recognition.
In Working Notes of the Workshop on Plan Recognition, National
Conference on Artificial Intelligence, St. Paul, MN, 1988. BibTeX entry |
| [682] |
Robert P. Goldman and Eugene Charniak.
A probabilistic approach to plan recognition and text understanding.
In Working Notes of the Second AAAI Workshop on Plan
Recognition, Detroit, Michigan, August 1989. BibTeX entry |
| [683] |
Robert P. Goldman.
A Probabilistic Approach to Language Understanding.
PhD thesis, Department of Computer Science, Brown University,
Providence, RI, December 1990.
Technical Report CS-90-34. BibTeX entry |
| [684] |
Moises Goldszmidt and Mehran Sahami.
A probabilistic approach to full-text document clustering.
Technical Report ITAD-433-MS-98-044, SRI International, 1998. BibTeX entry |
| [685] |
Juan Francisco Gomez-Lopera, Jose Martinez-Aroza, Aureliano M. Robles-Perez,
and Ramon Roman-Roldan.
An analysis of edge detection by using the Jensen-Shannon
divergence.
Journal of Mathematical Imaging and Vision, 13(1):35-56, 2000. BibTeX entry |
| [686] |
Nathaniel Good, J. Ben Schafer, Joseph A. Konstan, Al Borchers, Badrul Sarwar,
Jonathan L. Herlocker, and John Riedl.
Combining collaborative filtering with personal agents for better
recommendations.
In Proceedings of the Sixteenth National Conference on
Artificial Intelligence (AAAI-99), pages 439-446, Orlando, FL, July 1999. BibTeX entry |
| [687] |
Joshua Goodman.
Parsing algorithms and metrics.
In Proceedings of the 34th Annual Meeting of the Association for
Computational Linguistics (ACL-96), pages 177-183, Santa Cruz, CA, 1996. BibTeX entry |
| [688] |
Joshua Goodman.
Efficient algorithms for parsing the DOP model.
In Proceedings of the Conference on Empirical Methods in Natural
Language Processing (EMNLP-96), pages 143-152, Philadelphia, PA, 1996. BibTeX entry |
| [689] |
Diana F. Gordon and Marie desJardins.
Evaluation and selection of biases in machine learning.
Machine Learning, 20(1/2):5-22, 1995. BibTeX entry |
| [690] |
Osamu Gotoh.
An improved algorithm for matching biological sequences.
Journal of Molecular Biology, 162:705-708, 1982. BibTeX entry |
| [691] |
Richard Horace Granger Jr.
When expectation fails: Towards a self-correcting inference system.
In Proceedings of the First National Conference on Artificial
Intelligence (AAAI-80), pages 301-305, Stanford, California, 1980. BibTeX entry |
| [692] |
Richard H. Granger.
FOUL-UP: a program that figures out meanings of words from context.
In Proceedings of the Fifth International Joint Conference on
Artificial intelligence (IJCAI-77), pages 172-178, 1977. BibTeX entry |
| [693] |
Richard Horace Granger Jr.
Adaptive Understanding: Correcting Erroneous Inferences.
PhD thesis, Department of Computer Science, Yale University, New
Haven, CT, January 1980.
Technical Report 171. BibTeX entry |
| [694] |
Jonathan Gratch and Gerald F. DeJong.
COMPOSER: A probabilistic solution to the utility problem in
speed-up learning.
In Proceedings of the Tenth National Conference on Artificial
Intelligence (AAAI-92), pages 235-240, San Jose, CA, July 1992. BibTeX entry |
| [695] |
Jonathan Gratch and Gerald F. DeJong.
A hybrid approach to guaranteed effective control strategies.
In Proceedings of the Eighth International Workshop on Machine
Learning, pages 509-513, Evanston,IL, June 1991. BibTeX entry |
| [696] |
Luis Gravano, Panagiotis G. Ipeirotis, H. V. Jagadish, Nick Koudas,
S. Muthukrishnan, and Divesh Srivastava.
Approximate string joins in a database (almost) for free.
In Peter M. G. Apers, Paolo Atzeni, Stefano Ceri, Stefano Paraboschi,
Kotagiri Ramamohanarao, and Richard T. Snodgrass, editors, Proceedings
of the 27th International Conference on Very Large Databases (VLDB-2001),
pages 491-500, Rome, Italy, September 2001. Morgan Kaufmann. BibTeX entry |
| [697] |
Bert F. Green, Alice K. Wolf, Carol Chomsky, and Kenneth Laughery.
Baseball: An automatic question answerer.
In Edward A. Feigenbaum and Julian Feldman, editors, Computers
and Thought, pages 207-216. McGraw Hill, New York, 1963.
Reprinted in Readings in Natural Language Processing, Barbara
J. Grosz, K. Spark Jones, and B. Lynn Webber (eds.), Morgan Kaufman, Los
Altos, CA, 1986. BibTeX entry |
| [698] |
Russell Greiner, Adam Grove, and Dan Roth.
Learning cost-sensitive active classifiers.
Artificial Intelligence, 139(2):137-174, 2002. BibTeX entry |
| [699] |
Russell Greiner and Joseph Likuski.
Incorporating redundant learned rules: A preliminary formal
analysis of EBL.
In Proceedings of the Eleventh International Joint Conference on
Artificial Intelligence (IJCAI-89), pages 744-749, Detroit, MI, August
1989. BibTeX entry |
| [700] |
Ulf Grenander.
Syntax-controlled probabilities.
Technical report, Brown University, 1967.
Division of Applied Mathematics. BibTeX entry |
| [701] |
H. Paul Grice.
Logic and conversation.
In Peter Cole and Jerry Morgan, editors, Syntax and Semantics 3:
Speech Acts, pages 41-58. Academic Press, New York, 1975. BibTeX entry |
| [702] |
Jane Grimshaw.
Form, function, and the language acquisition device.
In C. L. Baker and J. J. McCarthy, editors, The logical problem
of language acquisition, pages 165-182. M.I.T. Press, Cambridge, MA and
London, England, 1981. BibTeX entry |
| [703] |
Marko Grobelnik, editor.
Proceedings of IEEE International Conference on Data Mining
(ICDM-2001) Workshop on Text Mining (TextDM'2001), San Jose, CA, 2001. BibTeX entry |
| [704] |
M. Grobelnik, N. Milic-Frayling, and D. Mladenic, editors.
Papers from the Nineteenth International Conference on Machine
Learning (ICML-2002) Workshop on Text Learning, Sydney, Australia, July
2002. BibTeX entry |
| [705] |
Marko Grobelnik, Natasa Milic-Frayling, and Dunja Maldenic, editors.
Proceedings of the IJCAI-2003 Workshop on Text Mining and
Link-Analysis Workshop, Acapulco, Mexico, August 2003. AAAI. BibTeX entry |
| [706] |
Marko Grobelnik, editor.
Proceedings of the Eighteenth International Joint Conference on
Artificial Intelligence(IJCAI-2003) Workshop on Text Mining and Link Analysis
(TextLink-2003), Acapulco, Mexico, August 2003. BibTeX entry |
| [707] |
Jess Gropen, Steven Pinker, Michelle. Hollander, and Richard Goldberg.
Affectedness and direct objects: The role of lexical semantics in the
acquisition of verb argument structure.
Cognition, 41(1), 1991. BibTeX entry |
| [708] |
Barbara J. Grosz and Sarit Kraus.
Collaborative plans for complex group action.
Artificial Intelligence, 86(2):269-357, 1996. BibTeX entry |
| [709] |
Barbara J. Grosz.
Discourse analysis.
In Donald E. Walker, editor, Understanding Spoken Language.
Elsevier North-Holland, New York, NY, 1978. BibTeX entry |
| [710] |
Thomas Guckenbiehl and Gisela Schäfer-Richter.
SIDIA: Extending prediction-based diagnosis to dynamic models.
In Working Notes of the 1st International Workshop on Principles
of Diagnosis, pages 74-82, Menlo Park, CA, 1990. BibTeX entry |
| [711] |
S. Guha, R. Rastogi, and K. Shim.
Rock: a robust clsutering algorithm for categorical attributes.
In Proceedings of the Fifteenth International Conference on Data
Engineering, 1999. BibTeX entry |
| [712] |
Prahlad Gupta and David S. Touretzky.
Connectionist models and linguistic theory: Investigations of stress
systems in language.
Cognitive Science, 18(1):1-50, 1994. BibTeX entry |
| [713] |
Dan Gusfield.
Algorithms on Strings, Trees and Sequences.
Cambridge University Press, New York, 1997. BibTeX entry |
| [714] |
Juergen Haas and Buharat Jayaraman.
From context-free to definite-clause grammars: a type-theoretic
approach.
Journal of Logic Programming, 30(1):1-23, 1997. BibTeX entry |
| [715] |
John Hagel and Marc Singerare.
Net Worth: Shaping Markets When Customers Make the Rules.
Harvard Business School Press, 1999. BibTeX entry |
| [716] |
U. Hahn, M. Romacker, and S. Schulz.
Creating knowledge repositories from biomedical reports: The
MEDSYNDIKATE text mining system.
In Proceedings of the 7th Pacific Symposium on Biocomputing,
pages 338-349, Kauai, HI, January 2002. BibTeX entry |
| [717] |
Robert J. Hall.
Learning by failing to explain.
In Proceedings of the Fifth National Conference on Artificial
Intelligence (AAAI-86), pages 568-572, Philadelphia, PA, August 1986. BibTeX entry |
| [718] |
Hans van Halteren.
Chunking with WPDV models.
In Proceedings of CoNLL-2000 and LLL-2000, pages
154-156, Lisbon, Portugal, 2000. BibTeX entry |
| [719] |
Greg Hamerly and Charles Elkan.
Learning the k in k-means.
In Advances in Neural Information Processing Systems 15, 2003. BibTeX entry |
| [720] |
Kristian Hammond, Robin Burke, Charles Martin, and Steven Lytinen.
FAQ-Finder: A case-based approach to knowledge navigation.
In Working Notes of AAAI Spring Symposium: Information Gathering
from Heterogeneous, Distributed Environments, pages 69-73, Stanford
University, 1995. AAAI Press. BibTeX entry |
| [721] |
Walter Hamscher.
Principles of diagnosis: Current trends and a report on the first
international workshop.
AI Magazine, 12(4):15-23, 1991. BibTeX entry |
| [722] |
Walter Hamscher.
Principles of diagnosis: Current trends and a report on the first
international workshop.
AI Magazine, 12(4):15-23, 1991. BibTeX entry |
| [723] |
Walter Hamscher, Luca Console, and Johan deKleer, editors.
Readings in Model-Based Diagnosis.
Morgan Kaufmann, San Mateo, CA, 1992. BibTeX entry |
| [724] |
Walter Hamscher.
XDE: Diagnosing devices with hierarchic structure and known
component failure modes.
In Proceedings of the Sixth IEEE Conference on Artificial
Intelligence Applications, pages 48-54, Santa Barbara, CA, 1990. BibTeX entry |
| [725] |
Jiawei Han and Micheline Kamber.
Data Mining: Concepts and Techniques.
Morgan Kaufmann, San Francisco, 2000. BibTeX entry |
| [726] |
Jiawei Han, Jian Pei, and Yiwen Yin.
Mining frequent patterns without candidate generation.
In Weidong Chen, Jeffrey F. Naughton, and Philip A. Bernstein,
editors, Proceedings of the 2000 ACM SIGMOD International Conference on
Management of Data (SIGMOD-2000), pages 1-12, Dallas, TX, May 2000. ACM.
SIGMOD Record 29(2). BibTeX entry |
| [727] |
J. Han and Y. Fu.
Discovery of multiple-level association rules from large databases.
In Proceedings of the 21st International Conference on Very
Large Databases (VLDB-95), pages 420-431, Zurich, Switzerland, 1995. BibTeX entry |
| [728] |
David J. Hand, Heikki Mannila, and Padhraic Smyth.
Principles of Data Mining.
MIT Press, Cambridge, MA, 2001. BibTeX entry |
| [729] |
Lars Kai Hansen and Peter Salamon.
Neural network ensembles.
IEEE Transactions on Pattern Analysis and Machine Intelligence,
12(10):993-1001, 1990. BibTeX entry |
| [730] |
Stephen José Hanson and Lorien Y. Pratt.
Comparing biases for minimal network construction with
back-propagation.
In David S. Touretzky, editor, Advances in Neural Information
Processing Systems 1, pages 177-185. Morgan Kaufmann, San Mateo, CA, 1989. BibTeX entry |
| [731] |
Sanda M. Harabagiu, Razvan C. Bunescu, and Steven J. Maiorano.
Text and knowledge mining for coreference resolution.
In Proceedings of the Second Meeting of the North American
Chapter of the Association for Computational Linguistics (NAACL-2001), pages
55-62, Pittsburgh, PA, June 2001. BibTeX entry |
| [732] |
David Harel and Yehuda Koren.
Clustering spatial data using random walks.
In Proceedings of the Seventh ACM SIGKDD International
Conference on Knowledge Discovery and Data Mining (KDD-2001), pages
281-286, 2001. BibTeX entry |
| [733] |
Donna Harman and Gerald Candela.
Retrieving records from a gigabyte of text on a minicomputer using
statistical ranking.
Journal of American Socieity for Information Science,
41(8):581-589, 1990. BibTeX entry |
| [734] |
T. E. Harris.
The Theory of Branching Processes.
Springer Verlag, Berlin, 1963. BibTeX entry |
| [735] |
Masahiko Haruno.
A case frame learning method for Japanese polysemous verbs.
In Papers from the 1995 AAAI Symposium on the Representation and
Acquisition of Lexical Knowledge: Polysemy, Ambiguity, and Generativity,
pages 45-50, Stanford, CA, March 1995. BibTeX entry |
| [736] |
Masahiko Haruno, Satoshi Shirai, and Yoshifumi Ooyama.
Using decision trees to construct a practical parser.
Machine Learning, 34:131-150, 1999. BibTeX entry |
| [737] |
Trevor Hastie, Robert Tibshirani, and Jerome Friedman.
The Elements of Statistical Learning.
Springer Verlag, New York, August 2001. BibTeX entry |
| [738] |
Trevor Hastie and Robert Tibshirani.
Discriminant adaptive nearest-neighbor classification.
IEEE Transactions on Pattern Analysis and Machine Intelligence,
18(6):607-617, 1996. BibTeX entry |
| [739] |
Peter M. Hastings and Steven L. Lytinen.
The ups and downs of lexical acquisition.
In Proceedings of the Twelfth National Conference on Artificial
Intelligence (AAAI-94), pages 754-759, 1994. BibTeX entry |
| [740] |
Vasileios Hatzivassiloglou and Andrey Rzhetsky Pablo A. Duboué.
Disambiguating proteins, genes, and RNA in text: A machine learning
approach.
Bioinformatics, 17:S97-106, 2001.
Supplement 1. BibTeX entry |
| [741] |
David Haussler.
Learning conjunctive concepts in structural domains.
In Proceedings of the Sixth National Conference on Artificial
Intelligence (AAAI-87), pages 466-470, Seattle, WA, July 1987. BibTeX entry |
| [742] |
David Haussler.
Quantifying inductive bias: Artificial intelligence learning
algorithms and Valiant's learning framework.
Artificial Intelligence, 26:177-221, 1988. BibTeX entry |
| [743] |
David Haussler, Michael J. Kearns, H. Sebastian Seung, and Naftali Tishby.
Rigorous learning curve bounds from statistical mechanics.
In Proceedings of the Seventh Annual ACM Workshop on
Computational Learning Theory, pages 76-87, 1994. BibTeX entry |
| [744] |
David Haussler, Michael Kearns, H. Sebastian Seung, and Naftali Tishby.
Rigorous learning curve bounds from statistical mechanics.
Machine Learning, 25(2/3):195-236, 1996. BibTeX entry |
| [745] |
Caroline Hayes.
Machining Planning: A Model of an Expert Level Planning
Process.
PhD thesis, The Robotics Institue, Carnegie Mellon University,
December 1990. BibTeX entry |
| [746] |
Marti A. Hearst.
Untangling text data mining.
In Proceedings of the 37th Annual Meeting of the Association for
Computational Linguistics (ACL-99), pages 3-10, College Park, MD, June
1999. BibTeX entry |
| [747] |
Marti A. Hearst.
Deirection-based text interpretation as an information access
refinement.
In Paul S. Jacobs, editor, Text-Based Intelligent Systems.
Lawrence Erlbaum and Associates, 1992. BibTeX entry |
| [748] |
Marti A. Hearst.
What is text mining?
http://www.sims.berkeley.edu/hearst/text-mining.html,
October 2003. BibTeX entry |
| [749] |
David Heckerman.
Probabilistic interpretations for Mycin's certainty factors.
In Laveen N. Kanal and John F. Lemmer, editors, Uncertainty in
Artificial Intelligence, pages 167-196. North Holland, Amsterdam, 1986. BibTeX entry |
| [750] |
David Heckerman.
A tutorial on learning Bayesian networks.
Technical Report MSR-TR-95-06, Microsoft Research, Redmond, WA, March
1995. BibTeX entry |
| [751] |
David Heckerman, Dan Geiger, and David M. Chikering.
Learning Bayesian networks: The combination of knowledge and
statistical data.
In Proceedings of the Tenth Conference on Uncertainty in
Artificial Intelligence (UAI-94), pages 293-301, Seattle, WA, July 1994. BibTeX entry |
| [752] |
G. G. Hendrix, E. Sacerdoti, D. Sagalowicz, and J. Slocum.
Developing a natural language interface to complex data.
ACM Transactions on Database Systems, 3(2):105-147, 1978. BibTeX entry |
| [753] |
Max Henrion, J. S. Breese, and E. Horivitz.
Decision analysis and expert systems.
AI Magazine, 12(4):64-91, 1991. BibTeX entry |
| [754] |
Max Henrion.
Towards efficient probabilistic diagnosis in multiply connected
belief networks.
In R. M. Oliver and J. Q. Smith, editors, Influence Diagrams,
Belief Nets and Decision Analysis. Wiley, Chichester, England, 1988. BibTeX entry |
| [755] |
Max Henrion.
Practical issues in constructing a bayes belief network.
In Proceedings of the Fourth Conference on Uncertainty in
Artificial Intelligence (UAI-91), pages 132-139, 1988. BibTeX entry |
| [756] |
J. Herlocker, J. Konstan, and J. Riedl.
Explaining collaborative filtering recommendations.
In Proceedings of the ACM 2000 Conference on Computer Supported
Cooperative Work, 2000. BibTeX entry |
| [757] |
Ulf Hermjakob and Raymond J. Mooney.
Learning parse and translation decisions from examples with rich
context.
In Proceedings of the 35th Annual Meeting of the Association for
Computational Linguistics (ACL-97), pages 482-489, Madrid, Spain, 1997. BibTeX entry |
| [758] |
Ulf Hermjakob.
Learning Parse and Translation Decisions From Examples With Rich
Context.
PhD thesis, Department of Computer Sciences, University of Texas,
Austin, Texas, May 1997.
file://ftp.cs.utexas.edu/pub/mooney/papers/hermjakob-dissertation-97.ps.Z. BibTeX entry |
| [759] |
Mauricio A. Hernández and Salvatore J. Stolfo.
The merge/purge problem for large databases.
In Proceedings of the 1995 ACM SIGMOD International Conference
on Management of Data (SIGMOD-95), pages 127-138, San Jose, CA, May 1995. BibTeX entry |
| [760] |
Mauricio A. Hernández.
A Generalization of Band Joins and the Merge/Purge Problem.
PhD thesis, Columbia University, 1996. BibTeX entry |
| [761] |
John Hertz, Anders Krogh, and Richard G. Palmer.
Introduction to the Theory of Neural Computation.
Addison-Wesley, 1991. BibTeX entry |
| [762] |
Tomer Hertz, Aharon Bar-Hiller, and Daphna Weinshall.
Learning distance functions with product space boosting.
Technical Report TR 2003-35, Leibniz Center for Research in Computer
Science, The Hebrew University of Jerusalem, 2003. BibTeX entry |
| [763] |
Aharon Bar-Hillel, Tomer Hertz, Noam Shental, and Daphna Weinshall.
Learning distance functions using equivalence relations.
In Proceedings of 20th International Conference on Machine
Learning (ICML-2003), 2003. BibTeX entry |
| [764] |
D. Hindle and M. Rooth.
Structural ambiguity and lexical relations.
Computational Linguistics, 19(1):103-120, 1993. BibTeX entry |
| [765] |
A. Hinneburg and D. A. Keim.
An efficient approach to clustering in large multimedia databases
with noise.
In Proceedings of the Fourth International Conference on
Knowledge Discovery and Data Mining (KDD-98), pages 58-65, 1998. BibTeX entry |
| [766] |
G. E. Hinton and T. J. Sejnowski.
Learning and relearning in boltzmann machines.
In D. E. Rumelhart and J. L. McClelland, editors, Parallel
Distributed Processing, Vol. I, pages 282-317. MIT Press, Cambridge, MA,
1986. BibTeX entry |
| [767] |
G. E. Hinton.
Learning distributed representations of concepts.
In Proceedings of the Eighth Annual Conference of the Cognitive
Science Society, pages 1-12, Amherst, MA, 1986. BibTeX entry |
| [768] |
J. Hirschberg.
Every time I fire a linguist, my performance goes up, and other
myths of the statistical natural language processing revolution.
Invited talk, Fifteenth National Conference on Artificial
Intelligence (AAAI-98), 1998. BibTeX entry |
| [769] |
Lynette Hirschman, Marc Light, Eric Breck, and John D. Burger.
Deep Read: A reading comprehension system.
In Proceedings of ACL, College Park, MD, June 1999. BibTeX entry |
| [770] |
H. Hirsh.
Incremental Version-Space Merging: A General Framework for
Concept Learning.
Kluwer Academic Publishers, Hingham, MA, 1990. BibTeX entry |
| [771] |
S. A. Macskassy, A. A. Dayanik, and Haym Hirsh.
EmailValet: Learning user preferences for wireless email.
In Working Notes of the IJCAI-99 Workshop on Machine Learning
for Information Filtering, Stockholm, Sweden, 1999. BibTeX entry |
| [772] |
H. Hirsh.
Combining empirical and analytical learning with version spaces.
In Proceedings of the Sixth International Workshop on Machine
Learning, pages 29-33, Ithaca, NY, June 1989. BibTeX entry |
| [773] |
H. Hirsh.
Incremental Version-Space Merging: A General Framework for
Concept Learning.
PhD thesis, Stanford University, Palo Alto, CA, June 1989. BibTeX entry |
| [774] |
G. Hirst and D. St-Onge.
Lexical chains as representations of context for the detection and
correction of malapropims.
In C. Fellbaum, editor, WordNet: An Electronic Lexical
Database, chapter 13, pages 305-332. MIT Press, 1998. BibTeX entry |
| [775] |
Jerry R. Hobbs, Mark E. Stickel, Paul Martin, and Douglas Edwards.
Interpretation as abduction.
In Proceedings of the 26th Annual Meeting of the Association for
Computational Linguistics (ACL-88), pages 95-103, Buffalo, New York, 1988. BibTeX entry |
| [776] |
D. Hochbaum and D. Shmoys.
A best possible heuristic for the k-center problem.
Mathematics of Operations Research, 10(2):180-184, 1985. BibTeX entry |
| [777] |
Susanne Hoche and Stefan Wrobel.
Relational learning using constrained confidence-rated boosting.
In Proceedings of the 11th International Conference on Inductive
Logic Programming, pages 51-64, 2001. BibTeX entry |
| [778] |
C. F. Hockett.
The origin of speech.
Scientific American, 203:88-96, 1960. BibTeX entry |
| [779] |
Hodges P.E., McKee A.H.Z., Davis B.P., W.E. Payne, and Garrells J.I.
Yeast protein database (ypd): a model for the organization and
presentation of genome-wide functional data.
Nucleic Acids Research, 27:69-73, 1999. BibTeX entry |
| [780] |
C. M. Hoffmann and M. J. O'Donnell.
Pattern matching in trees.
Journal of the Association for Computing Machinery,
29(1):68-95, 1982. BibTeX entry |
| [781] |
Thomas Hofmann and Joachim M. Buhmann.
Active data clustering.
In Advances in Neural Information Processing Systems 10, 1998. BibTeX entry |
| [782] |
Ian Holmes and William J. Bruno.
Finding regulatory elements using joint likelihoods for sequence and
expression profile data.
In Proceedings of the 8th International Conference on
Intelligent Systems for Molecular Biology (ISMB-2000), pages 202-210, La
Jolla, CA, 2000. AAAI Press. BibTeX entry |
| [783] |
Robert C. Holte, L. Acker, and B. Porter.
Concept learning and the problem of small disjuncts.
In Proceedings of the Eleventh International Joint Conference on
Artificial Intelligence (IJCAI-89), pages 813-818, Detroit, MI, 1989. BibTeX entry |
| [784] |
R. C. Holte.
Very simple classification rules perform well on most commonly used
datasets.
Machine Learning, 11(1):63-90, 1993. BibTeX entry |
| [785] |
A. S. Holzrichter and R. P. Meier.
Motherese in American Sign Language.
In C. Chamberlain, Jill P. Morford, and Rachel Mayberry, editors,
The Acquisition of Linguistic Representation by Eye. Erlbaum,
Hillsdale, NJ, in press. BibTeX entry |
| [786] |
A. S. Hornby.
Oxford Advanced Learner's Dictionary of Current English.
Oxford University Press, Oxford, England, 1974. BibTeX entry |
| [787] |
K. Hornick, M. Stinchcombe, and H. White.
Multilayer feedforward networks are universal approximators.
Neural Networks, 2:359-366, 1989. BibTeX entry |
| [788] |
James Jay Horning.
A Study of Grammatical Inference.
PhD thesis, Stanford University, Stanford, CA, 1969. BibTeX entry |
| [789] |
Eric Horvitz and Matthew Barry.
Display of information for time-critical decision making.
In Proceedings of the Eleventh Conference on Uncertainty in
Artificial Intelligence (UAI-95), pages 296-305, Montreal, CA, August 1995. BibTeX entry |
| [790] |
Chun-Nan Hsu and Ming-Tzung Dung.
Wrapping semistructured web pages with finite-state transducers.
In Proceedings of Conference on Automated Learning and Discovery
(CONLAD-98), Pittsburgh, PA, June 1998. BibTeX entry |
| [791] |
Chun-Nan Hsu.
Finite-state transducers for semi-structured text mining.
In Ronen Feldman, editor, Proceedings of the Sixteenth
International Joint Conference on Artificial Intelligence (IJCAI-99) Workshop
on Text Mining: Foundations, Techniques and Applications, Stockholm, Sweden,
1999. BibTeX entry |
| [792] |
T. Huang and King Sun Fu.
On stochastic context-free languages.
Information Sciences, 3:201-224, 1971. BibTeX entry |
| [793] |
Xueming Huang, Gordon I. McCalla, Jim E. Greer, and Eric Neufeld.
Revising deductive knowledge and stereotypical knowledge in a student
model.
User Modeling and User-Adapted Interaction, 1:87-115, 1991. BibTeX entry |
| [794] |
P.J. Huber.
Projection pursuit.
The Annals of Statistics, 13(5):435-475, 1985. BibTeX entry |
| [795] |
S. B. Huffman.
Learning information extraction patterns from examples.
In S. Wermter, E. Riloff, and G. Scheler, editors,
Connectionist, Statistical, and Symbolic Approaches to Learning for Natural
Language Processing, pages 246-260. Springer, Berlin, 1996. BibTeX entry |
| [796] |
Scott B. Huffman.
Learning information extraction patterns from examples.
In Working Notes of the IJCAI95 Workshop on New Approaches to
Learning for Natural Language Processing, pages 127-142, Montreal, Canada,
August 1995. BibTeX entry |
| [797] |
D. Hume.
An Inquiry Concerning Human Understanding Reprinted 1955.
Liberal Arts Press, New York, 1748. BibTeX entry |
| [798] |
K Humphreys, G. Demetriou, and R. Geizauskas.
Two applications of information extraction to biological science
journal articles: Enzyme interactions and protein structure.
In Proceedings of the 5th Pacific Symposium on Biocomputing,
pages 502-513, 2000. BibTeX entry |
| [799] |
Farhad Hussain, Huan Liu Einoshin Suzuki, and Hongjun Lu.
Exception rule mining with a relative interestingness measure.
In Proceedings of 4th European Conference of Principles and
Practice of Knowledge Discovery in Databases (PKDD-00), pages 86-97, April
2000. BibTeX entry |
| [800] |
S. E. Hutchins.
Stochastic Sources for Context-Free Languages.
PhD thesis, University of California, San Diego, 1970. BibTeX entry |
| [801] |
Jeremy A. Hylton.
Identifying and merging related bibliographic records.
Master's thesis, Department of Electrical Engineering and Computer
Science, MIT, 1996. BibTeX entry |
| [802] |
Aapo Hyvärinen and Erkki Oja.
Independent component analysis: Algorithms and applications.
Neural Networks, 13(4-5):411-430, 2000. BibTeX entry |
| [803] |
Wayne Iba, James Wogulis, and Pat Langley.
Trading off simplicity and coverage in incremental concept learning.
In Proceedings of the Fifth International Conference on Machine
Learning (ICML-88), pages 73-79, Ann Arbor, MI, June 1988. BibTeX entry |
| [804] |
The FastICA package for MATLAB.
http://www.cis.hut.fi/projects/ica/fastica/. BibTeX entry |
| [805] |
Nancy A. Ide and Jeanéronis.
Introduction to the special issue on word sense disambiguation: The
state of the art.
Computational Linguistics, 24(1):1-40, 1998. BibTeX entry |
| [806] |
Igor Kononenko and Matevz Kovacic.
Learning as optimization: Stochastic generation of multiple
knowledge.
In Machine Learning: Proceedings of the Ninth International
Workshop, Aberdeen, Scotland, 1992. BibTeX entry |
| [807] |
N. Inuzaka, M. Kamo, N. Ishii, H. Seki, and H. Itoh.
Top-down induction of logic programs from incomplete samples.
In Proceedings of the Sixth International Workshop on Inductive
Logic Programming (ILP-96), pages 119-136, 1996. BibTeX entry |
| [808] |
Yuri Ivanov, Bruce Blumberg, and Alex Pentland.
Expectation maximization for weakly labeled data.
In Proceedings of 18th International Conference on Machine
Learning (ICML-2001), pages 218-225, Williamstown, MA, 2001. BibTeX entry |
| [809] |
Masahiko Iwamoto.
A planner with quality goal and its speedup learning for optimization
problem.
In Proceedings of the Second International Conference of AI
Planning Systems, Chicago, June 1994. BibTeX entry |
| [810] |
Raj D. Iyer, David D. Lewis, Robert E. Schapire, Yoram Singer, and Amit
Singhal.
Boosting for document routing.
In Arvin Agah, Jamie Callan, and Elke Rundensteiner, editors,
Proceedings of CIKM-00, 9th ACM International Conference on Information
and Knowledge Management, pages 70-77, McLean, US, 2000. ACM Press, New
York, US. BibTeX entry |
| [811] |
T. Jaakkola and D. Haussler.
Exploiting generative models in discriminative classifiers.
In Advances in Neural Information Processing Systems 11, pages
487-493, 1999. BibTeX entry |
| [812] |
Ray Jackendoff.
Semantic Structures.
MIT Press, Cambridge, MA, 1990. BibTeX entry |
| [813] |
K. Jain and V. Vazirani.
Approximation algorithms for metric facility location and k-median
problems using the primal-dual schema and Lagrangian relaxation.
Journal of the ACM, 48:274-296, 2001. BibTeX entry |
| [814] |
Anil K. Jain, M. N. Murty, and Patrick J. Flynn.
Data clustering: A review.
ACM Computing Surveys, 31(3):264-323, 1999. BibTeX entry |
| [815] |
A. K. Jain and R. C. Dubes.
Algorithms for Clustering Data.
Prentice Hall, New Jersey, 1988. BibTeX entry |
| [816] |
M.A. Jaro.
Advances in record-linkage methodology as applied to matching the
1985 census of Tampa, Florida.
Journal of the American Statistical Association, 84:414-420,
1989. BibTeX entry |
| [817] |
M. A. Jaro.
Probabilistic linkage of large public health data files.
Statistics in Medicine, 14(5-7):491-498, 1995. BibTeX entry |
| [818] |
W. E. Jeffrey and L. B. Cohen.
Habituation in the human infant.
In H. Reese, editor, Advances in child development and behavior,
Vol.6, pages 63-97. Academic Press, New York, 1971. BibTeX entry |
| [819] |
Frederick Jelinek.
Statistical Methods for Speech Recognition.
MIT Press, Cambridge, MA, 1998. BibTeX entry |
| [820] |
Frederick Jelinek and Robert L. Mercer.
Interpolated estimation of markov source parameters from sparse data.
In Proceedings of the Workshop on Pattern Recognition in
Practice, Amsterdam, The Netherlands, 1980. BibTeX entry |
| [821] |
David Jensen and Henry Goldberg, editors.
AAAI Fall Symposium on Artificial Intelligence for Link
Analysis, Menlo Park, CA, 1998. AAAI Press. BibTeX entry |
| [822] |
Liang Jin, Chen Li, and Sharad Mehrotra.
Efficient similarity string joins in large data sets.
Technical Report TR-DB-02-04, UCI ICS, 2002. BibTeX entry |
| [823] |
Thorsten Joachims.
Making large-scale SVM learning practical.
In B. Schölkopf, C. J. C. Burges, and A. J. Smola, editors,
Advances in Kernel Methods - Support Vector Learning, pages 169-184.
MIT Press, 1999. BibTeX entry |
| [824] |
T. Joachims.
Text categorization with support vector machines: Learning with many
relevant features.
In Proceedings of the Tenth European Conference on Machine
Learning, pages 137-142, Berlin, 1998. Springer-Verlag. BibTeX entry |
| [825] |
Thorsten Joachims, Dayne Freitag, and Tom Mitchell.
WebWatcher: A tour guide for the world wide web.
In Proceedings of the Fifteenth International Joint Conference
on Artificial Intelligence (IJCAI-97), pages 770-775, Nagoya, Japan, 1997. BibTeX entry |
| [826] |
Thorsten Joachims.
Optimizing search engines using clickthrough data.
In Proceedings of the Eighth ACM SIGKDD International Conference
on Knowledge Discovery and Data Mining (KDD-2002), Edmonton, Canada, 2002. BibTeX entry |
| [827] |
Thorsten Joachims.
A probabilistic analysis of the Rocchio algorithm with TFIDF for
text categorization.
In Proceedings of the Fourteenth International Conference on
Machine Learning (ICML-97), pages 143-151, San Francisco, CA, 1997. Morgan
Kaufmann. BibTeX entry |
| [828] |
Thorsten Joachims.
Transductive inference for text classification using support vector
machines.
In Proceedings of the Sixteenth International Conference on
Machine Learning (ICML-99), pages 200-209, Bled, Slovenia, June 1999. BibTeX entry |
| [829] |
W. Lewis Johnson.
Intention-Based Diagnosis of Novice Programming Errors.
Pitman Publishing, London, 1986. BibTeX entry |
| [830] |
David S. Johnson.
Approximation algorithms for combinatorial problems.
Journal of Computer and System Sciences, 9:256-278, 1974. BibTeX entry |
| [831] |
Michael Johnston, Branimir Boguraev, and James Pustejovsky.
The acquisition and interpretation of complex nominals.
In Papers from the 1995 AAAI Symposium on the Representation and
Acquisition of Lexical Knowledge: Polysemy, Ambiguity, and Generativity,
pages 69-74, Stanford, CA, 1995. BibTeX entry |
| [832] |
Ian T. Jolliffe.
Principal Component Analysis.
Springer-Verlag, New York, 1986. BibTeX entry |
| [833] |
Michael I. Jordan, editor.
Learning in Graphical Models.
MIT Press, Cambridge, MA, 1999. BibTeX entry |
| [834] |
Alípio Jorge and Pavel Brazdil.
Architecture for iterative learning of recursive definitions.
In Luc De Raedt, editor, Advances in Inductive Logic
Programming, pages 206-218. IOS Press, Amsterdam, 1996. BibTeX entry |
| [835] |
John R. Josephson, B. Chandrasekaran, Jack R. Smith, and Michael C. Tanner.
A mechanism for forming composite explanatory hypotheses.
IEEE Transactions on Systems, Man, and Cybernetics,
17(3):445-454, 1987. BibTeX entry |
| [836] |
Aravind K. Joshi.
Tree-adjoining grammars: How much context sensitivity is required to
provide reasonable structural descriptions.
In D. R. Dowty, L. Karttunen, and A. Zwicky, editors, Natural
Language Parsing. Cambridge University Press, New York, 1985. BibTeX entry |
| [837] |
D. Jurafsky and J. H. Martin.
Speech and Language Processing: An Introduction to Natural
Language Processing, Computational Linguistics, and Speech Recognition.
Prentice Hall, Upper Saddle River, NJ, 2000. BibTeX entry |
| [838] |
Daniel Kahneman, Paul Slovic, and Amos Tversky, editors.
Judgment under uncertainty: Heuristics and biases.
Cambridge University Press, Cambridge, 1992. BibTeX entry |
| [839] |
Andonakis C. Kakas, Robert A. Kowalski, and Francesca Toni.
Abductive logic programming.
Journal of Logic and Computation, 2(6):719-770, 1993. BibTeX entry |
| [840] |
Andonakis C. Kakas and Paolo Mancarella.
Knowledge assimilation and abduction.
In J. P. Martins and M. Reinfrank, editors, Truth Maintenance
Systems - ECAI90 Workshop, pages 54-70, Stockholm, Sweden, August 1990.
Springer Verlag. BibTeX entry |
| [841] |
Kamal M. Ali and Michael J. Pazzani.
HYDRA-MM: Learning multiple descriptions to improve classification
accuracy.
International Journal on Artificial Intelligence Tools, 4,
1995. BibTeX entry |
| [842] |
Kamal M. Ali and Michael J. Pazzani.
Error reduction through learning multiple descriptions.
Machine Learning, 24:3:100-132, 1996. BibTeX entry |
| [843] |
Subbarao Kambhampati and Jengchin Chen.
Relative utility of EBG based plan reuse in partial ordering vs.
total ordering.
In Proceedings of the Eleventh National Conference on Artificial
Intelligence (AAAI-93), pages 514-519, Washington, D.C., 1993. BibTeX entry |
| [844] |
Subbarao Kambhampati, Suresh Katukam, and Yong Qu.
Failure driven search control for partial order planners: An
explanation based approach.
Artificial Intelligence, 88, 1996. BibTeX entry |
| [845] |
Subbarao Kambhampati and Biplav Srivastava.
Universal classical planner: An algorithm for unifying state-space
and plan-space planning.
In Malik Ghallab and Alfredo Milani, editors, New Directions in
AI Planning, pages 61-75, Amsterdam, 1996. IOS Press. BibTeX entry |
| [846] |
Sepandar D. Kamvar, Dan Klein, and Christopher D. Manning.
Spectral learning.
In Proceedings of the Seventeenth International Joint Conference
on Artificial Intelligence (IJCAI-2003), pages 561-566, Acapulco, Mexico,
2003. BibTeX entry |
| [847] |
Sepandar D. Kamvar, Dan Klein, and Christopher D. Manning.
Interpreting and extending classical agglomerative clustering
algorithms using a model-based approach.
In Proceedings of 19th International Conference on Machine
Learning (ICML-2002), 2002. BibTeX entry |
| [848] |
Abraham Kandel and Gideon Langholz, editors.
Hybrid Architectures for Intelligent Systems.
CRC Press, Inc., Boca Raton, FL, 1992. BibTeX entry |
| [849] |
Ravi Kapadia, Gautam Biswas, and Charlie Robertson.
DOC: A framework for monitoring and diagnosis of
continuous-valued systems.
In Fifth International Workshop on Principles of Diagnosis,
pages 140-147, New Paltz, NY, 1994. BibTeX entry |
| [850] |
Ronald M. Kaplan and Joan Bresnan.
Lexical-functional grammar.
In Joan Bresnan, editor, The Mental Representation of
Grammatical Relations. MIT Press, Cambridge, MA, 1982. BibTeX entry |
| [851] |
H. Kargupta, W. Huang, K. Sivakumar, and E. Johnson.
Distributed clustering using collective principal component analysis,
2001. BibTeX entry |
| [852] |
Yael Karov and Shimon Edelman.
Learning similarity-based word sense disambiguation from sparse data.
In Proceedings of the Fourth Workshop on Very Large Corpora,
Copenhagen, 1996. BibTeX entry |
| [853] |
George Karypis, Eui-Hong (Sam) Han, and Vipin Kumar.
Chameleon: Hierarchical clustering using dynamic modeling.
Computer, 32(8):68-75, 1999. BibTeX entry |
| [854] |
G. Karypis, E. H. Han, and V. Kumar.
Chameleon: A hierarchical clustering algorithm using dynamic
modeling.
IEEE Computer, 32(8):68-75, 1999. BibTeX entry |
| [855] |
G. Karypis and V. Kumar.
A fast and high quality multilevel scheme for partitioning irregular
graphs.
SIAM Journal on Scientific Computing, 20(1):359-392, 1998. BibTeX entry |
| [856] |
Jerome P. Kassirer.
Clinical problem solving: A behavioral analysis.
Annals of Internal Medicine, 89:245-255, 1978. BibTeX entry |
| [857] |
Hirofumi Katsuno and Alberto O. Mendelzon.
Propositional knowledge base revision and minimal change.
Artificial Intelligence, 52:263-294, 1991. BibTeX entry |
| [858] |
Suresh Katukam and Subbarao Kambhampati.
Learning explanation-based search control for partial order planning.
In Proceedings of the Twelfth National Conference on Artificial
Intelligence (AAAI-94), pages 582-587, Seattle,WA, August 1994. BibTeX entry |
| [859] |
Shmuel Katz and Zohar Manna.
Logical analysis of programs.
Communications of the Association for Computing Machinery,
19(4):188-206, 1976. BibTeX entry |
| [860] |
L. Kaufman and P.J. Rousseeuw.
Finding Groups in Data: An Introduction to Cluster Analysis.
John Wiley and Sons, New York, 1990. BibTeX entry |
| [861] |
Henry A. Kautz and James F. Allen.
Generalized plan recognition.
In Proceedings of the Fifth National Conference on Artificial
Intelligence (AAAI-86), pages 32-37, Philadelphia, PA, 1986. BibTeX entry |
| [862] |
Henry A. Kautz.
A Formal Theory of Plan Recognition.
PhD thesis, Department of Computer Science, University of Rochester,
Rochester, NY, May 1987.
Technical Report 215. BibTeX entry |
| [863] |
Herbert Kay and Benjamin J. Kuipers.
Numerical behavior envelopes for qualitative models.
In Proceedings of the Eleventh National Conference on Artificial
Intelligence (AAAI-93), pages 606-613, Washington, D.C., 1993. BibTeX entry |
| [864] |
Martin Kay and Martin Roescheisen.
Text-translation alignment.
Computational Linguistics, 19(1):121-142, 1993. BibTeX entry |
| [865] |
Martin Kay.
Parsing in functional unification grammar.
In David R. Dowty, Lauri Karttunen, and Arnold M. Zwicky, editors,
Natural Language Parsing, pages 251-278. Cambridge University Press,
New York, 1982. BibTeX entry |
| [866] |
Herbert Kay.
A qualitative model of the space shuttle reaction control system.
Technical Report AI92-188, Artificial Intelligence Laboratory,
University of Texas, Austin, TX, 1992. BibTeX entry |
| [867] |
Dimitar Kazakov and Suresh Manandhar.
A hybrid approach to word segmentation.
In Proceedings of the 8th International Workshop on Inductive
Logic Programming (ILP-98), pages 125-134. Springer, 1998. BibTeX entry |
| [868] |
Rick Kazman.
Babel: A psychologically plausible cross-linguistic model of
lexical and syntactic acquisition.
In Proceedings of the Eighth International Workshop on Machine
Learning, pages 75-79, Evanston, IL, June 1990. BibTeX entry |
| [869] |
Rick Kazman.
Simulating the child's acquisition of the lexicon and
syntax-experiences with Babel.
Machine Learning, 16:87-120, 1994. BibTeX entry |
| [870] |
Michael J. Kearns and Umesh V. Vazirani.
An Introduction to Computational Learning Theory.
MIT Press, Cambridge, MA, 1994. BibTeX entry |
| [871] |
Michael J. Kearns, Ming Li, Leonard Pitt, and Leslie G. Valiant.
Recent results on boolean concept learning.
In Proceedings of the Fourth International Workshop on Machine
Learning, pages 337-352, Irvine, CA, June 1987. BibTeX entry |
| [872] |
Michael Kearns, Yishay Mansour, and Andrew Y. Ng.
An information-theoretic analysis of hard and soft assignment methods
for clustering.
In Proceedings of 13th Conference on Uncertainty in Artificial
Intelligence (UAI-97), pages 282-293, 1997. BibTeX entry |
| [873] |
Smadar T. Kedar-Cabelli.
Purpose-directed analogy.
In Proceedings of the Seventh Annual Conference of the Cognitive
Science Society, pages 150-159, Irvine, CA, August 1985. BibTeX entry |
| [874] |
Smardar T. Kedar-Cabelli and L. Thorne McCarty.
Explanation-based generalization as resolution theorem proving.
In Proceedings of the Fourth International Workshop on Machine
Learning, pages 383-389, Irvine, CA, June 1987. BibTeX entry |
| [875] |
J. Keifer.
Optimal experimental designs.
Journal of the Royal Statistical Society, 21B:272-304, 1959. BibTeX entry |
| [876] |
Richard M. Keller.
The Role of Explicit Contextual Knowledge in Learning Concepts
to Improve Performance.
PhD thesis, Rutgers University, New Brunswick, N, 1987.
Also appears as tech. report ML-TR-7. BibTeX entry |
| [877] |
Martin H. Kelly and Steven Martin.
Domain-general abilities applied to domain-specific tasks:
Sensitivity to probabilities in perception, cognition and language.
Lingua, 92:105-140, 1994. BibTeX entry |
| [878] |
Harold H. Kelly.
The process of causal attribution.
American Psychologist, 28:107-128, 1973. BibTeX entry |
| [879] |
Harold H. Kelly.
Causal schemata and the attribution process.
In E. E. Jones, D. E. Kanouse, H. H. Kelly, R. E. Nisbett, S. Valins,
and B. Weiner, editors, Attribution: Perceiving the causes of behavior.
General Learning Press, Morristown, NJ, 1972. BibTeX entry |
| [880] |
Jr. J. D. Kelly and L. Davis.
A hybrid genetic algorithm for classification.
In Proceedings of the Twelfth International Joint Conference on
Artificial Intelligence (IJCAI-91), pages 645-650, Sydney, Australia, 1991.
Morgan Kaufmann. BibTeX entry |
| [881] |
Allen Kent and et al.
Use of Library Materials: The University of Pittsburgh Study.
Dekker, New York, 1979. BibTeX entry |
| [882] |
J. O. Kephart and D. M. Chess.
The vision of autonomic computing.
IEEE Computer, 36(1):41-50, 2003. BibTeX entry |
| [883] |
Dennis Kibler and Pat Langley.
Machine learning as an experimental science.
In Proceedings of the Third European Working Session on
Learning, pages 81-92, Glasgow, Scotland, October 1988. Pitman. BibTeX entry |
| [884] |
Boonserm Kijsirikul, Masayuki Numao, and Masamichi Shimura.
Discrimination-based constructive induction of logic programs.
In Proceedings of the Tenth National Conference on Artificial
Intelligence (AAAI-92), pages 44-49, San Jose, CA, July 1992. BibTeX entry |
| [885] |
Boonserm Kijsirikul, Masayuki Numao, and Masamichi Shimura.
Efficient learning of logic programs with non-determinant,
nondiscriminating literals.
In Proceedings of the Eighth International Workshop on Machine
Learning, pages 417-421, Evanston, IL, June 1991. BibTeX entry |
| [886] |
Y. Kim, W. N. Street, and F. Menczer.
Feature selection in unsupervised learning via evolutionary search.
In Proceedings of the Sixth International Conference on
Knowledge Discovery and Data Mining (KDD-2000), pages 365-369, Boston, MA,
August 2000. BibTeX entry |
| [887] |
Stuart K. Kim, Jim Lund, Moni Kiraly, Kyle Duke, Min Jiang, Joshua M. Stuart,
Andreas Eizinger, Brian N. Wylie, and George S. Davidson.
A gene expression map for c. elegans.
Science, 293:2087-2092, 2001. BibTeX entry |
| [888] |
Jong Yong Kim and John Shawe-Taylor.
Fast string matching using an n-gram algorithm.
Software - Practice and Experience, 24(1):79-83, 1994. BibTeX entry |
| [889] |
Jun-Tae Kim and Dan I. Moldovan.
Acquisition of linguistic patterns for knowledge-based information
extraction.
IEEE Transactions on Knowledge and Data Engineering,
7(5):713-724, October 1995. BibTeX entry |
| [890] |
Ross D. King, Stephen Muggleton, R. A. Lewis, and Michael J. E. Sternberg.
Drug design by machine learning: The use of inductive logic
programming to model the structure-activity relationships of trimethoprim
analogues binding to dihydrofolate reductase.
Proceedings of the National Academy of Sciences, 89(23), 1992. BibTeX entry |
| [891] |
P. Kingsbury, M. Palmer, and M. Marcus.
Adding semantic annotation to the Penn treebank.
In Proceedings of the Human Language Technology Conference, San
Diego, CA, 2002. BibTeX entry |
| [892] |
Svetlana Kiritchenko and Stan Matwin.
Email classification with co-traiing.
In Proceedings of CASCON-2001, pages 192-201, Toronto, Canada,
2001. BibTeX entry |
| [893] |
Dennis H. H. Klatt.
Review of the ARPA speech understanding project.
The Journal of the Acoustical Society of America,
62(6):1324-1366, 1977. BibTeX entry |
| [894] |
Judith L. Klavans and Philip Resnik, editors.
The Balancing Act: Combining Symbolic and Statistical Approaches
to Language.
MIT Press, Cambridge, MA, 1996. BibTeX entry |
| [895] |
Sepandar D. Kamvar, Dan Klein, and Christopher D. Manning.
Spectral learning.
In Proceedings of the Seventeenth International Joint Conference
on Artificial Intelligence (IJCAI-2003), 2003. BibTeX entry |
| [896] |
Dan Klein, Sepandar D. Kamvar, and Christopher Manning.
From instance-level constraints to space-level constraints: Making
the most of prior knowledge in data clustering.
In Proceedings of the The Nineteenth International Conference on
Machine Learning (ICML-2002), pages 307-314, Sydney, Australia, July 2002. BibTeX entry |
| [897] |
S. Klein and M. A. Kuppin.
An interactive, heuristic program for learning transformational
grammars.
Technical Report TR-97, Computer Sciences Department, Univeristy of
Wisconsin, Madison, Madison, WI, 1970. BibTeX entry |
| [898] |
Jon Kleinberg and Eva Tardos.
Approximation algorithms for classification problems with pairwise
relationships: Metric labeling and Markov random fields.
In Proceedings of the 40th IEEE Symposium on Foundations of
Computer Science (FOCS-99), pages 14-23, 1999. BibTeX entry |
| [899] |
Mika Klemettinen, Heikki Mannila, Pirjo Ronkainen, Hannu Toivonen, and
A. Inkeri Verkamo.
Finding interesting rules from large sets of discovered association
rules.
In Proceedings of 3rd International Conference on Information
and Knowledge (CIKM-94), pages 401-407, November 1994. BibTeX entry |
| [900] |
Edward S. Klima and Ursula Bellugi.
The signs of language.
Harvard University Press, Cambridge, MA, 1979. BibTeX entry |
| [901] |
Ralf Klinkenberg and Thorsten Joachims.
Detecting concept drift with support vector machines.
In Proceedings of the Seventeenth International Conference on
Machine Learning (ICML-2000), pages 477-494, Stanford, CA, June 2000. BibTeX entry |
| [902] |
Kevin Knight.
Learning word meanings by instruction.
In Proceedings of the Thirteenth National Conference on
Artificial Intelligence (AAAI-96), pages 447-454, Portland, Or, August
1996. BibTeX entry |
| [903] |
Kevin Knight.
Automating knowledge acquisition for machine translation.
AI Magazine, 18(4):81-96, 1997. BibTeX entry |
| [904] |
Craig A. Knoblock, Steven Minton, Jose Luis Ambite, Naveen Ashish, Pragnesh Jay
Modi, Ion Muslea, Andrew G. Philpot, and Sheila Tejada.
Modeling web sources for information integration.
In Proceedings of the Fifteenth National Conference on
Artificial Intelligence (AAAI-98), pages 211-218, Madison, WI, July 1998. BibTeX entry |
| [905] |
K. Knowlton.
Sentence Parsing with a Self-Organizing Heuristic Program.
PhD thesis, Massachusetts Institute of Technology, Cambridge, MA,
1962. BibTeX entry |
| [906] |
Alfred Kobsa and Wolfgang Wahlster, editors.
User Models in Dialog Systems.
Springer Verlag, 1989. BibTeX entry |
| [907] |
Yves Kodratoff and Michel Manago.
Generalization and noise.
International Journal of Man-Machine Studies, 27(2):181-204,
August 1987. BibTeX entry |
| [908] |
Ron Kohavi, Barry Becker, and Dan Sommerfield.
Improving simple Bayes.
In Proceedings of the European Conference on Machine Learning,
1997. BibTeX entry |
| [909] |
Ron Kohavi, Pat Langley, and Yeogirl Yun.
The utility of feature weighting in nearest-neighbor algorithms.
In Proceedings of the Ninth European Conference on Machine
Learning (ECML-97), Prague, 1997. Springer Verlag. BibTeX entry |
| [910] |
Ron Kohavi and George H. John.
Automatic parameter selection by minimizing estimated error.
In Proceedings of the Twelfth International Conference on
Machine Learning (ICML-95), pages 304-312, Tahoe City, CA, 1995. BibTeX entry |
| [911] |
Ron Kohavi and David H. Wolpert.
Bias plus variance decomposition for zero-one loss functions.
In Lorenza Saitta, editor, Proceedings of the Thirteenth
International Conference on Machine Learning (ICML-96). Morgan Kaufmann,
July 1996. BibTeX entry |
| [912] |
T. Kohonen.
Self-organized formulation of topologically correct feature maps.
Biological Cybernetics, 43:59-69, 1982. BibTeX entry |
| [913] |
T. Kohonen.
Self-Organizing Maps.
Springer-Verlag, Berlin, Germany, 2nd edition, 1997. BibTeX entry |
| [914] |
Teuvo Kohonen.
The self-organizing map.
Proceedings of the IEEE, 78(9):1464-1480, 1990. BibTeX entry |
| [915] |
Andrei N. Kolmogorov.
Three approaches to the quantitative definition of information.
Problems of Information Transmission, 1:4-7, 1965. BibTeX entry |
| [916] |
Daphne Koller and Avi Pfeffer.
Probabilistic frame-based systems.
In Proceedings of the Fifteenth National Conference on
Artificial Intelligence (AAAI-98), pages 580-587, Madison, WI, July 1998.
AAAI Press / The MIT Press. BibTeX entry |
| [917] |
D. Koller and M. Sahami.
Toward optimal feature selection.
In Proceedings of the Thirteenth International Conference on
Machine Learning (ICML-96), pages 284-292, 1996. BibTeX entry |
| [918] |
Kurt Konolige.
Abduction versus closure in causal theories.
Artificial Intelligence, 53:255-272, 1992. BibTeX entry |
| [919] |
Moshe Koppel, Ronen Feldman, and Alberto Maria Segre.
Bias-driven revision of logical domain theories.
Journal of Artificial Intelligence Research, 1:1-50, 1994. BibTeX entry |
| [920] |
Joshua Koppelman, Steven D. Pietra, Mark E. Epstein, and Salim Estephan Roukos.
A statistical approach to language modeling for the ATIS task.
In Eurospeech 1995, Madrid, Spain, 1995. BibTeX entry |
| [921] |
Richard E. Korf.
Depth-first iterative-deepening: An optimal admissable tree search.
Artificial Intelligence, 27(1), 1985. BibTeX entry |
| [922] |
Raymond Kosala and Hendrik Blockeel.
Web mining research: A survey.
SIGKDD Explorations, 2(1):1-15, July 2000. BibTeX entry |
| [923] |
John R. Koza.
Genetic Programming: On the Programming of Computers by means of
Natural Selection.
MIT Press, Cambridge, MA, 1992. BibTeX entry |
| [924] |
John R. Koza.
Genetic Programming II: Automatic Discovery of Reusable
Programs.
MIT Press, MIT, 1994. BibTeX entry |
| [925] |
Ina C. Kraan, Bradley L. Richards, and Benjamin J. Kuipers.
Automatic abduction of qualitative models.
In Proceedings of the Fifth International Workshop on
Qualitative Reasoning about Physical Systems, pages 295-301, 1991. BibTeX entry |
| [926] |
Stefan Kramer, Nada Lavrac, and Peter Flach.
Propositionalization approaches to relational data mining.
In Saso Dzeroski and Nada Lavrac, editors,
Relational Data Mining. Springer Verlag, Berlin, 2001. BibTeX entry |
| [927] |
Anders Krogh, Michael Brown, I. Saira Mian, Kimmen Sjolander, and David
Haussler.
Hidden Markov models in computational biology: Applications to
protein modeling.
Journal of Molecular Biology, 235:1501-1531, 1994. BibTeX entry |
| [928] |
A. Krogh and J. Vedelsby.
Neural network ensembles, cross validation and active learning.
In Advances in Neural Information Processing Systems 7, 1995. BibTeX entry |
| [929] |
John K. Krusche and Javier R. Movellan.
Benefits of gain: Speeded learning and minimal hidden layers.
IEEE transactions on Systems, Man and Cybernetics, 21(1), 1991. BibTeX entry |
| [930] |
Miroslav Kubat, Robert C. Holte, and Stan Matwin.
Machine learning for the detection of oil spills in satellite radar
images.
Machine Learning, 30(2-3):195-215, 1998. BibTeX entry, Available here |
| [931] |
Taku Kudoh and Yuji Matsumoto.
Use of support vector learning for chunk identification.
In Proceedings of CoNLL-2000 and LLL-2000, pages
142-144, Lisbon, Portugal, 2000. BibTeX entry |
| [932] |
Roland Kuhn and Renato De Mori.
The application of semantic classification trees to natural language
understanding.
IEEE Transactions on Pattern Analysis and Machine Intelligence,
17(5):449-460, 1995. BibTeX entry |
| [933] |
Benjamin J. Kuipers.
Abstraction by time-scale in qualitative simulation.
In Proceedings of the Sixth National Conference on Artificial
Intelligence (AAAI-87), pages 621-625, Seattle, WA, 1987. BibTeX entry |
| [934] |
Benjamin J. Kuipers and D. Berleant.
Using incomplete quantitative knowledge in qualitative reasoning.
In Proceedings of the Seventh National Conference on Artificial
Intelligence (AAAI-88), pages 324-329, St. Paul, MN, 1988. BibTeX entry |
| [935] |
Benjamin J. Kuipers.
Commonsense reasoning about causality: Deriving behavior from
structure.
Artificial Intelligence, 24:169-203, 1984. BibTeX entry |
| [936] |
Benjamin J. Kuipers.
Qualitative simulation.
Artificial Intelligence, 29:289-338, 1986. BibTeX entry |
| [937] |
Benjamin J. Kuipers.
Qualitative Reasoning: Modeling and Simulation with Incomplete
Knowledge.
MIT Press, Cambridge, MA, 1994. BibTeX entry |
| [938] |
Benjamin J. Kuipers and Jerome P. Kassirer.
Causal reasoning in medicine: Analysis of a protocol.
Cognitive Science, 8:363-385, 1984. BibTeX entry |
| [939] |
Benjamin J. Kuipers.
Qualitative simulation in medical physiology: A progress report.
Technical Report MIT/LCS/TM-280, Laboratory for Computer Science,
Massachusetts Institute of Technology, Cambridge, MA, June 1985. BibTeX entry |
| [940] |
Benjamin J. Kuipers.
Qualitative reasoning: Modeling and simulation with incomplete
knowledge.
Book draft, May 1991. BibTeX entry |
| [941] |
Benjamin J. Kuipers.
Self-calibrating models for dynamic monitoring and diagnosis.
Research Proposal to the NASA Ames Research Center, January 1992. BibTeX entry |
| [942] |
D. Kulkarni.
Propagating values through quantitative equations.
Technical report, NASA Ames Research Center, Moffet Field, CA, 1992. BibTeX entry |
| [943] |
Akira Kumano and Hideki Hirakawa.
Building an MT dictionary from parallel texts based on linguistic
and statistical information.
In Proceedings of the Fifteenth International Conference on
Computational Linguistics, 1994. BibTeX entry |
| [944] |
L. Kuncheva and C. Whitaker.
Measures of diversity in classifier ensembles and their relationship
with the ensemble accuracy.
submitted, 2002. BibTeX entry |
| [945] |
L.I. Kuncheva and C. Whitaker.
Measures of diversity in classifier ensembles and their relationship
with ensemble accuracy.
Machine Learning, 51(2):181-207, 2003. BibTeX entry |
| [946] |
Benjamin C. Kuo.
Automatic Control Systems.
Prentice Hall, Engelwood Cliffs, New Jersey, 1991. BibTeX entry |
| [947] |
Julian M. Kupiec, Jan Pedersen, and Francine Chen.
A trainable document summarizer.
In Proceedings of Eighteenth International ACM SIGIR Conference
on Research and Development in Information Retrieval, pages 68-73, Seattle,
WA, July 1995. BibTeX entry |
| [948] |
J. Kupiec.
Robust part-of-speech tagging using a hidden markov model.
Computer Speech and Language, 6:225-242, 1992. BibTeX entry |
| [949] |
Nicholas Kushmerick, editor.
Proceedings of the Seventeenth International Joint Conference on
Artificial Intelligence (IJCAI-2001) Workshop on Adaptive Text Extraction
and Mining, Seattle, WA, August 2001. AAAI Press. BibTeX entry |
| [950] |
Nicholas Kushmerick, Daniel S. Weld, and Robert B. Doorenbos.
Wrapper induction for information extraction.
In Proceedings of the Fifteenth International Joint Conference
on Artificial Intelligence (IJCAI-97), pages 729-735, Nagoya, Japan, 1997. BibTeX entry |
| [951] |
Chee-Keong Kwoh and Duncan Fyfe Gillies.
Using hidden nodes in Bayesian networks.
Artificial Intelligence, 88(1-2):1-38, December 1996. BibTeX entry |
| [952] |
James T. Kwok and Ivor W. Tsang.
Learning with idealized kernels.
In Proceedings of 20th International Conference on Machine
Learning (ICML-2003), pages 400-407, 2003. BibTeX entry |
| [953] |
R. Chris Lacher.
Node error assignment in expert networks.
In Abraham Kandel and Gideon Langholz, editors, Hybrid
Architectures for Intelligent Systems, pages 29-48. CRC Press, Inc., Boca
Raton, FL, 1992. BibTeX entry |
| [954] |
R. Chris Lacher.
Expert networks: Paradigmatic conflict, technological rapprochement.
Neuroprose FTP Archive, 1992. BibTeX entry |
| [955] |
Joel Lachter and Tom G. Bever.
The relation between linguistic structure and associative theories of
language learning: A constructive critique of some connectionist learning
models.
In S. Pinker and J. Mehler, editors, Connections and Symbols,
pages 195-247. MIT Press, Cambridge, MA, 1988. BibTeX entry |
| [956] |
Franz Lackinger and Wolfgang Nejdl.
Integrating model-based monitoring and diagnosis of complex dynamic
systems.
In Proceedings of the Twelfth International Joint Conference on
Artificial Intelligence (IJCAI-91), pages 1123-1128, Sydney, Australia,
1991. BibTeX entry |
| [957] |
John Lafferty, Andrew McCallum, and Fernando Pereira.
Conditional random fields: Probabilistic models for segmenting and
labeling sequence data.
In ICML-2001, 2001. BibTeX entry |
| [958] |
John E. Laird, Paul S. Rosenbloom, and Allen Newell.
Chunking in Soar: The anatomy of a general learning mechanism.
Machine Learning, 1(1), 1986. BibTeX entry |
| [959] |
Wai Lam and Fahiem Bacchus.
Using causal information and local measure to learn Bayesian
networks.
In Proceedings of the Ninth Conference on Uncertainty in
Artificial Intelligence (UAI-93), pages 243-250, 1993. BibTeX entry |
| [960] |
Wai Lam and Fahiem Bacchus.
Using new data to refine a Bayesian network.
In Proceedings of the Tenth Conference on Uncertainty in
Artificial Intelligence (UAI-94), pages 383-390, 1994. BibTeX entry |
| [961] |
Jean-Charles Lamirel and Yannick Toussaint.
Combining symbolic and numeric techniques for DL contents
classification and analysis.
In Proceedings of the First DELOS Network of Excellence
Workshop on Information Seeking, Searching and Quering in Digital Libraries,
Zurich, Switzerland, December 2000. BibTeX entry |
| [962] |
Evelina Lamma, Paola Mello, Fabrizio Riguzzi, Floriana Esposito, Stefano
Ferilli, and Giovanni Semeraro.
Cooperation of abduction and induction in logic programming.
In Peter A. Flach and Antonis C. Kakas, editors, Abductive and
Inductive Reasoning: Essays on their Relation and Integration. Kluwer
Academic Publishers, Dordrecht, The Netherlands, 1998. BibTeX entry |
| [963] |
Barbara Landau.
Where's what and what's where: the language of objects in space.
In Linda R. Gleitman and Barbar Landau, editors, The Acquisition
of the Lexicon, pages 259-296. MIT Press, Cambridge, MA, 1994. BibTeX entry |
| [964] |
T. K. Landauer and S. T. Dumais.
A solution to Plato's problem: The Latent Semantic Analysis
theory of the acquisition, induction, and representation of knowledge.
Psychological Review, 104:211-240, 1997. BibTeX entry |
| [965] |
E. S. Lander and et al.
Initial sequencing and analysis of the human genome.
Nature, Feb 15;409(6822):860-921, 2001. BibTeX entry |
| [966] |
Ken Lang.
NewsWeeder: Learning to filter netnews.
In Proceedings of the Twelfth International Conference on
Machine Learning (ICML-95), pages 331-339, San Francisco, CA, 1995. Morgan
Kaufmann. BibTeX entry |
| [967] |
Pat Langley, Wayne Iba, and Kevin Thompson.
An analysis of Bayesian classifiers.
In Proceedings of the Tenth National Conference on Artificial
Intelligence (AAAI-92), pages 223-228, 1992. BibTeX entry |
| [968] |
Pat Langley.
Learning to sense selectively in physical domains.
In Proceedings of the First International Conference on
Autonomous Agents (Agents-97), Marina del Rey, CA, 1997. BibTeX entry |
| [969] |
Pat Langley and Jaime Carbonell.
Language acquisition and machine learning.
In Brian MacWhinney, editor, Mechanisms of Language
Acquisition, pages 115-155. Lawrence Erlbaum and Associates, Hillsdale, NJ,
1987. BibTeX entry |
| [970] |
Pat Langley, Herb Simon, and Jan M. Zytkow Gary L. Bradshaw.
Scientific Discovery.
MIT Press, 1987. BibTeX entry |
| [971] |
Pat Langley.
Elements of Machine Learning.
Morgan Kaufmann, San Francisco, CA, 1996. BibTeX entry |
| [972] |
Pat Langley.
Language acquisition through error recovery.
Cognition and Brain Theory, 5, 1982. BibTeX entry |
| [973] |
Pat Langley and Herbert A. Simon.
Applications of machine learning and rule induction.
Communications of the Association for Computing Machinery,
38(11):55-64, 1995. BibTeX entry |
| [974] |
Pat Langley.
Learning to search: From weak methods to domain specific heuristics.
Cognitive Science, 9(2):217-260, 1985. BibTeX entry |
| [975] |
Pat Langley.
Machine learning for adaptive user interfaces.
In Proceedings of the 21st German Annual Conference on
Artificial Intelligence, pages 53-62, Freiburg, Germany, 1997. BibTeX entry |
| [976] |
Pat Langley.
Unifying themes in empirical and explanation-based learning.
In Proceedings of the Sixth International Workshop on Machine
Learning, pages 2-4, Ithaca, NY, June 1989. BibTeX entry |
| [977] |
Pat Langley and John A. Allen.
The acquisition of human planning expertise.
In Proceedings of the Eighth International Workshop on Machine
Learning, pages 80-84, Evanston,IL, June 1991. BibTeX entry |
| [978] |
Pat Langley.
Finding common paths as a learning mechanism.
Technical Report CIP Working Parper No. 419, Carnegie Mellon
University, Pittsburgh, PA, 1980. BibTeX entry |
| [979] |
Pat Langley, Stellan Ohlsson, and Stephanie Sage.
A machine learning approach to student modeling.
Technical Report CMU-RI-TR-84-7, Carnegie-Mellon University,
Pittsburgh, PA., 1984. BibTeX entry |
| [980] |
Pat Langley.
Simplicity and representation change in grammar induction.
unpublished manuscript, 1994. BibTeX entry |
| [981] |
Amy Lansky and Lise Getoor.
Scope and abstraction: Two criteria for localized planning.
In Proceedings of the Fourteenth International Joint Conference
on Artificial Intelligence (IJCAI-95), pages 1612-1618, Montreal, CA,
August 1995. BibTeX entry |
| [982] |
Amy Lansky.
Practical planning in COLLAGE.
In AAAI-94 Fall Symposium on Planning and Learning, pages
98-104, New Orleans, LA, October 1994. BibTeX entry |
| [983] |
Amy L. Lansky.
Localized planning with diverse plan construction methods.
Technical Report FIA-TR-94-05, NASA Ames Research Center, 1994. BibTeX entry |
| [984] |
E. Anderson, Z. Bai, C. Bischof, S. Blackford, J. Demmel, J. Dongarra,
J. Du Croz, A. Greenbaum, S. Hammarling, A. McKenney, and D. Sorensen.
LAPACK Users' Guide.
Society for Industrial and Applied Mathematics, Philadelphia, PA,
third edition, 1999. BibTeX entry |
| [985] |
Stephane Lapointe and Stan Matwin.
Sub-unification: A tool for efficient induction of recursive
programs.
In Proceedings of the Ninth International Conference on Machine
Learning (ICML-92), pages 273-281, Aberdeen, Scotland, July 1992. BibTeX entry |
| [986] |
K. Lari and Steve J. Young.
The estimation of stochastic context-free grammars using the
Inside-Outside algorithm.
Computer Speech and Language, 4:35-56, 1990. BibTeX entry |
| [987] |
Leah S. Larkey, Paul Ogilvie, M. Andrew Price, and Brenden Tamilio.
Acrophile: An automated acronym extractor and server.
In Proceedings of the Fifth ACM Conference on Digital
Libraries, pages 205-214, San Antonio, TX, June 2000. BibTeX entry |
| [988] |
Leah S. Larkey.
Some issues in the automatic classification of U.S patents.
In Papers from the AAAI-98 Workshop on Text Categorization,
pages 87-90, Madison, WI, 1998. BibTeX entry |
| [989] |
Howard Lasnik and Juan Uriagereka.
A Course in GB Syntax, Lectures on Binding and Empty
Categories.
MIT Press, Cambridge, Massachusetts and London, England, 1988. BibTeX entry |
| [990] |
Joachim H. Laubsch.
Some thoughts about representing knowledge in instructional systems.
In Proceedings of the Fourth International Joint Conference on
Artificial intelligence (IJCAI-75), pages 122-125, 1975. BibTeX entry |
| [991] |
Steffen L. Lauritzen.
The EM algorithm for graphical association models with missing
data.
Computational Statistics and Data Analysis, 19:191-201, 1995. BibTeX entry |
| [992] |
Stephen L. Lauritzen and David J. Spiegelhalter.
Local computations with probabilities on graphical structures and
their application to expert systems.
Journal of the Royal Statistical Society B, 50(2):157-224,
1988. BibTeX entry |
| [993] |
Nada Lavrac and Saso Dzeroski.
Inductive Logic Programming: Techniques and Applications.
Ellis Horwood, 1994. BibTeX entry |
| [994] |
E. W. Lawler and D. E. Wood.
Branch and bound methods: A survey.
Operations Research, 14:699-719, 1966. BibTeX entry |
| [995] |
Steve Lawrence, Kurt Bollacker, and C. Lee Giles.
Autonomous citation matching.
In Proceedings of the Third International Conference on
Autonomous Agents, New York, NY, 1999. ACM Press. BibTeX entry |
| [996] |
Neil D. Lawrence and Bernhard Schölkopf.
Estimating a kernel Fisher discriminant in the presence of label
noise.
In Proceedings of 18th International Conference on Machine
Learning (ICML-2001), pages 306-313, Williamstown, MA, 2001. Morgan
Kaufmann, San Francisco, CA. BibTeX entry |
| [997] |
C. Leacock and M. Chodorow.
Combining local context and WordNet similarity for word sense
identification.
In C. Fellbaum, editor, WordNet: An Electronic Lexical
Database, chapter 11, pages 265-284. MIT Press, 1998. BibTeX entry |
| [998] |
Claudia Leacock, Geoffrey Towell, and Ellen M. Voorhees.
Corpus-based statistical sense resolution.
In Proceedings of the ARPA Workshop on Human Language
Technology, 1993. BibTeX entry |
| [999] |
Claudia Leacock, Geoffrey Towell, and Ellen M. Voorhees.
Towards building contextual representations of word senses using
statistical models.
In Proceedings of the SIGLEX Workshop: Acquisition of Lexical
Knowledge from Text, pages 10-20. Association for Computational
Linguistics, 1993. BibTeX entry |
| [1000] |
Michael Lebowitz.
Concept learning in a rich input domain: Generalization-based memory.
In Ryszard S. Michalski, Jaime G. Carbonell, and Tom M. Mitchell,
editors, Machine Learning: An AI Approach, Vol. II, pages 193-214.
Morgan Kaufmann, 1986. BibTeX entry |
| [1001] |
Michael Lebowitz.
Integrated learning: Controlling explanation.
Cognitive Science, 10(2):219-240, 1986. BibTeX entry |
| [1002] |
Michael Lebowitz.
Experiments with incremental concept formation: UNIMEM.
Machine Learning, 2(2):103-138, 1987. BibTeX entry |
| [1003] |
Chistopher Leckie and Ingrid Zuckerman.
An inductive approach to learning search control rules for planning.
In Proceedings of the Thirteenth International Joint Conference
on Artificial Intelligence (IJCAI-93), pages 1100-1105, Chamberry,France,
August 1993. BibTeX entry |
| [1004] |
Yann Le Cun, John Denker, Sara A. Solla, Richard E. Howard, and Lawrence D.
Jackel.
Optimal brain damage.
In David S. Touretzky, editor, Advances in Neural Information
Processing Systems 2. Morgan Kaufmann, San Mateo, CA, 1990. BibTeX entry |
| [1005] |
J. Leddo, R. P. Abelson, and P. H. Gross.
Conjunctive explanations: When two reasons are better than one.
Journal of Personality and Social Psychology, 47:933-943,
1984. BibTeX entry |
| [1006] |
Herbert Lederer.
Reference Grammar of the German Language.
Charles Scribner's Sons, New York, 1969. BibTeX entry |
| [1007] |
Mong Li Lee, Hongjun Lu, Tok Wang Ling, and Yee Teng Ko.
Cleansing data for mining and warehousing.
In Proceedings of the 10th International Conference on Database
and Expert Systems Applications (DEXA-99), Florence, Italy, August 1999. BibTeX entry |
| [1008] |
J. H. Lee, M. H. Kim, and Lee Y. J.
Information retrieval based on a conceptual distance in IS-A
heirarchy.
Journal of Documentation, 49(2):188-207, June 1993. BibTeX entry |
| [1009] |
Mong-Li Lee, Tok Wang Ling, and Wai Lup Low.
Intelliclean: a knowledge-based intelligent data cleaner.
In Proceedings of the Sixth International Conference on
Knowledge Discovery and Data Mining (KDD-2000), pages 290-294, Boston, MA,
2000. BibTeX entry |
| [1010] |
Daniel D. Lee and H. Sebastian Seung.
Learning the parts of objects by non-negative matrix factorization.
Nature, 401:788-791, 1999. BibTeX entry |
| [1011] |
Daniel D. Lee and H. Sebastian Seung.
Algorithms for non-negative matrix factorization.
In Proceedings of the Conference on Neural Information
Processing Systems, pages 556-562, 2000. BibTeX entry, Available here |
| [1012] |
Daniel D. Lee and H. Sebastian Seung.
Unsupervised learning by convex and conic coding.
In Proceedings of the Conference on Neural Information
Processing Systems, pages 515-521, 1997. BibTeX entry |
| [1013] |
Geoffrey Leech.
Semantics.
Penguin Books Inc., 1974. BibTeX entry |
| [1014] |
Jill Fain Lehman.
Toward the essential nature of satistical knowledge in sense
resolution.
In Proceedings of the Twelfth National Conference on Artificial
Intelligence (AAAI-94), pages 734-741, Seattle, WA, August 1994. BibTeX entry |
| [1015] |
Jill Fain Lehman.
Adaptive Parsing.
Kluwer Academic Publishers, Boston, 1992. BibTeX entry |
| [1016] |
Wendy Lehnert and Beth Sundheim.
A performance evaluation of text-analysis technologies.
AI Magazine, 12(3):81-94, 1991. BibTeX entry |
| [1017] |
Wendy Lehnert, Claire Cardie, David Fisher, Joseph F. McCarthy, Ellen Riolff,
and Stephen Soderland.
University of massachusetts: MUC-4 test results and analysis.
In Proceedings of the Fourth DARPA Message Understanding
Evaluation and Conference (MUC-92), pages 151-158. Morgan Kaufmann, 1992. BibTeX entry |
| [1018] |
McAlister Leigh and Lemieux James.
Comparison of imputation techniques: Accuracy of imputations, imputed
data parameters, imputed model, parameters and quality of marketing decisions
implied by the estimated models.
Working paper, Department of Marketing, Red McCombs School of
Business, University of Texas at Austin, 2004. BibTeX entry |
| [1019] |
Brian Lent, Arun N. Swami, and Jennifer Widom.
Clustering association rules.
In Proceedings of the Thirteenth International Conference on
Data Engineering (ICDE-97), pages 220-231, Birmingham, U.K., April 1997. BibTeX entry |
| [1020] |
Brian Lent, Rakesh Agrawal, and Ramakrishnan Srikant.
Discovering trends in text databases.
In David Heckerman, Daryl Pregibon Heikki Mannila, and Ramasamy
Uthrysamy, editors, Proceedings of the Third International Conference on
Knowledge Discovery and Data Mining (KDD-97), pages 227-230, Newport Beach,
CA, August 1997. BibTeX entry |
| [1021] |
Julie E. Leonard, Jeffrey B. Colombe, and Joshua L. Levy.
Finding relevant references to genes and proteins in medline using a
Bayesian approach.
Bioinformatics, 18(11):1515-1522, 2002. BibTeX entry |
| [1022] |
G. Leroy, H. Chen, and J. D. Martinez.
A shallow parser based on closed-class words to capture relations in
biomedical text.
Journal of Biomedical Informatics (JBI), 36:145-158, June
2003. BibTeX entry |
| [1023] |
Alan M. Leslie and Stephanie Keeble.
Do six-month-old infants perceive causality?
Cognition, 25:265-288, 1987. BibTeX entry |
| [1024] |
Alan M. Leslie.
Spatiotemporal continuity and the perception of causality in infants.
Perception, 13:287-305, 1994. BibTeX entry |
| [1025] |
V. I. Levenshtein.
Binary codes capable of correcting insertions and reversals.
Soviet Physics Doklady, 10(8):707-710, February 1966. BibTeX entry |
| [1026] |
Hector J. Levesque.
A knowledge-level account of abduction.
In Proceedings of the Eleventh International Joint Conference on
Artificial Intelligence (IJCAI-89), pages 1061-1067, Detroit, MI, August
1989. BibTeX entry |
| [1027] |
David D. Lewis and Jason Catlett.
Heterogeneous uncertainty sampling for supervised learning.
In Proceedings of the Eleventh International Conference on
Machine Learning (ICML-94), pages 148-156, San Francisco, CA, July 1994.
Morgan Kaufmann. BibTeX entry |
| [1028] |
David Lewis and William Gale.
A sequential algorithm for training text classifiers.
In Proc. of 17th Intl. ACM SIGIR Conf. on Research and
Development in Information Retrieval, 1994. BibTeX entry |
| [1029] |
Ping Li, Curt Burgess, and Kevin Lund.
The acquisition of word meaning through global lexical
co-occurrences.
In E. V. Clark, editor, Proceedings of the Thirtieth Stanford
Child Language Research Forum, pages 167-178, Stanford, CA, 2000. Center
for the Study of Language and Information. BibTeX entry |
| [1030] |
Cen Li and Gautam Biswas.
A bayesian approach to temporal data clustering using hidden markov
models.
In Proceedings of the Seventeenth International Conference on
Machine Learning (ICML-2000), pages 543-550, 2000. BibTeX entry |
| [1031] |
Henry Lieberman, editor.
Your Wish is My Command: Programming by Example.
Morgan Kaufmann, San Francisco, 2001. BibTeX entry |
| [1032] |
Ray Liere and Prasad Tadepalli.
Active learning with committees for text categorization.
In Proceedings of the Fourteenth National Conference on
Artificial Intelligence (AAAI-97), pages 591-596, Providence, RI, July
1997. BibTeX entry |
| [1033] |
Long Ji Lin.
Self-improving reactive agents based on reinforcement learning,
planning and teaching.
Machine Learning, 8:293-321, 1992. BibTeX entry, Available here |
| [1034] |
Deaking Lin and Patrick Pantel.
Discovery of inference rules for question answering.
Natural Language Engineering, 7(4):343-360, 2001. BibTeX entry |
| [1035] |
Nikolaj Lindberg and Martin Eineborg.
Learning constraint grammar-style disambiguation rules using
inductive logic programming.
In Proceedings of the 36th Annual Meeting of the Association for
Computational Linguistics and COLING-98 (ACL/COLING-98), pages 775-779,
Montreal, Quebec, 1998. BibTeX entry |
| [1036] |
Nikolaj Lindberg and Martin Eineborg.
Improving part of speech disambiguation rules by adding linguistic
knowledge.
In Saso Dzeroski and Peter Flach, editors, Proceedings
of the 9th International Workshop on Inductive Logic Programming (ILP-99),
Bled, Slovenia, June 1999. Springer Verlag. BibTeX entry |
| [1037] |
Greg Linden, Steve Hanks, and Neal Lesh.
Interactive assessment of user preference models: The automated
travel assistant.
In User Modeling: Proceedings of the Sixth International
Conference, pages 67-78, Vienna, 1997. BibTeX entry |
| [1038] |
Michael Lindenbaum, Shaul Markovitch, and Dmitry Rusakov.
Selective sampling for nearest neighbor classifiers.
In Proceedings of the Sixteenth National Conference on
Artificial Intelligence (AAAI-99), pages 366-371, 1999. BibTeX entry, Available here |
| [1039] |
Charles X. Ling and Marin Marinov.
Answering the connectionist challenge: A symbolic model of learning
the past tense of English verbs.
Cognition, 49(3):235-290, 1993. BibTeX entry |
| [1040] |
Charles X. Ling, 1995.
Personal communication. BibTeX entry |
| [1041] |
Charles X. Ling.
Learning the past tense of English verbs: The symbolic pattern
associator vs. connectionist models.
Journal of Artificial Intelligence Research, 1:209-229, 1994. BibTeX entry |
| [1042] |
Charles X. F. Ling and Marco Valtorta.
Revision of reduced theories.
In Proceedings of the Eighth International Workshop on Machine
Learning, pages 519-523, Evanston, IL, June 1991. BibTeX entry |
| [1043] |
Richard P. Lippman.
Review of research on neural nets for speech.
Neural Computation, 1(1), 1989. BibTeX entry |
| [1044] |
Diane J. Litman.
Classifying cue phrases in text and speech using machine learning.
In Proceedings of the Twelfth National Conference on Artificial
Intelligence (AAAI-94), Seattle, WA, August 1994. BibTeX entry |
| [1045] |
Diane J. Litman and James F. Allen.
A plan recognition model for subdialogues in conversations.
Cognitive Science, 11:163-200, 1987. BibTeX entry |
| [1046] |
Diane J. Litman.
Cue phrase classification using machine learning.
Journal of Artificial Intelligence Research, 5:53-95, 1996. BibTeX entry |
| [1047] |
R. Little and D. Rubin.
Statistical Analysis with Missing Data.
John Wiley and Sons,, 1987. BibTeX entry |
| [1048] |
Nick Littlestone and Manfred K. Warmuth.
The weighted majority algorithm.
In IEEE Symposium on Foundations of Computer Science, 1992. BibTeX entry |
| [1049] |
B. Liu and W. Hsu.
Post analysis of learned rules.
In Proceedings of the Thirteenth National Conference on
Artificial Intelligence (AAAI-96), pages 828-834, 1996. BibTeX entry |
| [1050] |
Hugo Liu, Henry Lieberman, and Ted Selker.
A model of textual affect sensing using real-world knowledge.
In Proceedings of the 2003 International Conference on
Intelligent User Interfaces (IUI-2003), pages 125-132, Miami, FL, January
2003. ACM. BibTeX entry |
| [1051] |
Rey-Long Liu and Von-Wun Soo.
Augmenting and efficiently utilizing domain theory in
explanation-based natural language acquisition.
In Proceedings of the Ninth International Conference on Machine
Learning (ICML-92), pages 475-479, Aberdeen, Scotland, July 1992. BibTeX entry |
| [1052] |
Y. Liu and X. Yao.
Ensemble learning via negative correlation.
Neural Networks, 12, 1999. BibTeX entry |
| [1053] |
B. Liu, W. Hsu, L.-F. Mun, and Lee H.
Finding interesting patterns using user expectations.
IEEE Transactions on Knowledge and Data Engineering,
11(6):817-832, 1999. BibTeX entry |
| [1054] |
Dan Lizotte, Omid Madani, and Russell Greiner.
Budgeted learning of naive-bayes classifiers.
In Proceedings of 19th Conference on Uncertainty in Artificial
Intelligence (UAI-03), Acapulco, Mexico, 2003. BibTeX entry |
| [1055] |
Lennart Ljung.
System Indetification: Theory for the User.
Prentice-Hall Information and System Sciences Series, 1987. BibTeX entry |
| [1056] |
John W. Lloyd, editor.
Foundations of Logic Programming.
Springer Verlag, Berlin, 1984. BibTeX entry |
| [1057] |
Huma Lodhi, Craig Saunders, John Shawe-Taylor, Nello Cristianini, and Chris
Watkins.
Text classification using string kernels.
Journal of Machine Learning Research, 2:419-444, 2002. BibTeX entry |
| [1058] |
Stanley Loh, Leandro Krug Wives, and José Palazzo M. de Oliveira.
Concept-based knowledge discovery in texts extracted from the Web.
SIGKDD Explorations, 2(1):29-39, July 2000. BibTeX entry |
| [1059] |
Michael R. Lowry and Robert D. McCartney, editors.
Automating Software Design.
AAAI Press, Menlo Park, CA, 1991. BibTeX entry |
| [1060] |
Dario Lucarella.
A document retrieval system based on nearest neighbour searching.
Journal of Information Science, 14:25-33, 1988. BibTeX entry |
| [1061] |
Peter W. Jusczyk, Paul A. Luce, and Jan Charles-Luce.
Infants' sensitivity to phonotactic patterns in the native language.
Journal of Memory and Language, 33:630-645, 1994. BibTeX entry |
| [1062] |
Kevin Lund, Curt Burgess, and Ruth Ann Atchley.
Semantic and associative priming in high-dimensional semantic space.
In Proceedings of the Seventeenth Annual Conference of the
Cognitive Science Society, pages 660-665, 1995. BibTeX entry |
| [1063] |
S. Lytinen and S. Roberts.
Lexical acquisition as a by-product of natural language processing.
In Proceedings of the First International Lexical Acquisition
Workshop, Detroit, MI, 1989. BibTeX entry |
| [1064] |
Yong Ma and David C. Wilkins.
Improving the performance of inconsistent knowledge bases via
combined optimization method.
In Proceedings of the Eighth International Workshop on Machine
Learning, pages 23-27, Evanston, IL, June 1991. BibTeX entry |
| [1065] |
R. H. Macfadzean.
Using multi-layer belief networks for situation assessment in complex
man-machine systems.
Unpublished project report, 1994. BibTeX entry |
| [1066] |
Richard Maclin and Jude W. Shavlik.
Incorporating advice into agents that learn from reinforcements.
In National Conference on Artificial Intelligence, pages
694-699, 1994. BibTeX entry, Available here |
| [1067] |
R. Maclin and D. Opitz.
An empirical evaluation of bagging and boosting.
In Proceedings of the Fourteenth National Conference on
Artificial Intelligence, Providence, RI, 1997. AAAI Press. BibTeX entry |
| [1068] |
R. Maclin and Jude W. Shavlik.
Refining domain theories expressed as finite-state automata.
In Proceedings of the Eighth International Workshop on Machine
Learning, pages 524-528, Evanston, IL, June 1991. BibTeX entry |
| [1069] |
R. Maclin and J. W. Shavlik.
Creating advice-taking reinforcement learners.
Machine Learning, 22:251-281, 1996. BibTeX entry |
| [1070] |
J. MacQueen.
Some methods for classification and analysis of multivariate
observations.
In Proceedings of 5th Berkeley Symposium on Mathematical
Statistics and Probability, pages 281-297, 1967. BibTeX entry |
| [1071] |
B. MacWhinney and J. Leinbach.
Implementations are not conceptualizations: Revising the verb model.
Cognition, 40:291-296, 1991. BibTeX entry |
| [1072] |
Pattie Maes.
Agents that reduce work and information overload.
Communications of the Association for Computing Machinery,
37(7):31-40, 1994. BibTeX entry |
| [1073] |
D. M. Magerman.
Statistical decision-tree models for parsing.
In Proceedings of the 33rd Annual Meeting of the Association for
Computational Linguistics (ACL-95), pages 276-283, Cambridge, MA, 1995. BibTeX entry |
| [1074] |
David M. Magerman.
Natural Lagnuage Parsing as Statistical Pattern Recognition.
PhD thesis, Stanford University, 1994. BibTeX entry |
| [1075] |
K. Mahesh, editor.
Papers from the AAAI Spring Symposium on Natural Language
Processing for the World Wide Web, Stanford, CA, 1997. AAAI Press. BibTeX entry |
| [1076] |
J. J. Mahoney and Raymond J. Mooney.
Can competitive learning compete?: Comparing a connectionist
clustering technique to symbolic approaches.
In Proceedings of the Sixth IEEE Conference on Artificial
Intelligence Applications, pages 78-84, Santa Barabara, CA, 1990. BibTeX entry |
| [1077] |
J. J. Mahoney and Raymond J. Mooney.
Combining connectionist and symbolic learning to refine
certainty-factor rule-bases.
Connection Science, 5:339-364, 1993. BibTeX entry |
| [1078] |
J. J. Mahoney.
Rapture.
cs.utexas.edu FTP archive, 1992. BibTeX entry |
| [1079] |
J. J. Mahoney and Raymond J. Mooney.
Comparing methods for refining certainty-factor rule bases.
In Proceedings of the Eleventh International Conference on
Machine Learning (ICML-94), pages 173-180, New Brunswick, NJ, July 1994. BibTeX entry |
| [1080] |
J. Mahoney and Raymond Mooney.
Combining symbolic and neural learning to revise probabilistic
theories.
In Proceedings of the ML92 Workshop on Integrated Learning in
Real Domains, Aberdeen, Scotland, July 1992. BibTeX entry |
| [1081] |
J. J. Mahoney and Raymond J. Mooney.
Combining neural and symbolic learning to revise probabilistic rule
bases.
In S. J. Hanson, J. C. Cowan, and C. L. Giles, editors, Advances
in Neural Information Processing Systems 5, pages 107-114, San Mateo, CA,
1993. Morgan Kaufmann. BibTeX entry |
| [1082] |
J. J. Mahoney.
Combining Symbolic and Connectionist Learning to Revise
Certainty-Factor Rule Bases.
PhD thesis, Department of Computer Sciences, University of Texas,
Austin, TX, May 1996.
Also appears as Artificial Intelligence Laboratory Technical Report
AI 96-260. BibTeX entry |
| [1083] |
J. J. Mahoney and Raymond J. Mooney.
Initializing ID5R with a domain theory: Some negative results.
Technical Report AI91-154, Artificial Intelligence Laboratory,
University of Texas, Austin, TX, March 1991. BibTeX entry |
| [1084] |
Suresh Manandhar, Saso Dzeroski, and Tomaz Erjavec.
Learning multilingual morphology with CLOG.
In Proceedings of the 8th International Workshop on Inductive
Logic Programming (ILP-98), pages 135-144. Springer, 1998. BibTeX entry |
| [1085] |
O. L. Mangasarian and David R. Musicant.
Large scale kernel regression via linear programming.
Machine Learning, 46:255-269, 2002. BibTeX entry |
| [1086] |
Heikki Mannila, Hannu Toivonen, and A. Inkeri Verkamo.
Discovery of frequent episodes in event sequences.
Technical Report C-1997-15, Department of Computer Science,
University of Helsinki, Helsinki, Finland, February 1997. BibTeX entry |
| [1087] |
Christopher D. Manning.
Automatic acquisition of a large subcategorization dictionary from
corpora.
In Proceedings of the 31st Annual Meeting of the Association for
Computational Linguistics (ACL-93), pages 235-242, Columbus, OH, 1993. BibTeX entry |
| [1088] |
C. D. Manning and H. Schütze.
Foundations of Statistical Natural Language Processing.
MIT Press, Cambridge, MA, 1999. BibTeX entry |
| [1089] |
C. D. Manning and Bob Carpenter.
Three generative, lexicalised models for statistical parsing.
In Proceedings of the Fifth International Workshop on Parsing
Technologies, pages 147-158, 1997. BibTeX entry |
| [1090] |
Edward Marcotte, Ioannis Xenarios, and David Eisenberg.
Mining literature for protein-protein interactions.
Bioinformatics, Apr;17(4):359-363, 2001. BibTeX entry |
| [1091] |
E. M. Marcotte, I. Xenarios, A. van der Bliek, and D. Eisenberg.
Localizing proteins in the cell from their phylogenetic profiles.
Proceedings of the National Academy of Science, 97:12115-20,
2000. BibTeX entry |
| [1092] |
M. Marcus.
A Theory of Syntactic Recognition for Natural Language.
MIT Press, Cambridge, MA, 1980. BibTeX entry |
| [1093] |
M. Marcus, B. Santorini, and M. A. Marcinkiewicz.
Building a large annotated corpus of English: The Penn treebank.
Computational Linguistics, 19(2):313-330, 1993. BibTeX entry |
| [1094] |
K. V. Mardia and P. Jupp.
Directional Statistics.
John Wiley and Sons Ltd., 2nd edition, 2000. BibTeX entry |
| [1095] |
D. Marechal and R. M. French.
A connectionist account of interference effects in early infant
memory and categorization.
In Proceedings of the Nineteenth Annual Conference of the
Cognitive Science Society, 1997. BibTeX entry |
| [1096] |
Dragos D. Margineantu and Thomas G. Dietterich.
Improved class probability estimates from decision tree models.
In D. D. Denison, M. H. Hansen, C. C. Holmes, B. Mallick, and B. Yu,
editors, Nonlinear Estimation and Classification: Lecture Notes in
Statistics, 171, pages 169-184. Springer-Verlag, 2002. BibTeX entry |
| [1097] |
E. Markman.
Constraints on word meaning in early language acquisition.
In L. Gleitman and B. Landau, editors, The Acquisition of the
Lexicon, pages 199-207. MIT Press, Cambridge, MA, 1994. BibTeX entry |
| [1098] |
E. Markman.
Constraints children place on word meanings.
Cognitive Science, 14(1):57-77, 1990. BibTeX entry |
| [1099] |
Shaul Markovitch and Paul D. Scott.
Utilization filtering: A method for reducing the inherent
harmfulness of deductively learning knowledge.
In Proceedings of the Eleventh International Joint Conference on
Artificial Intelligence (IJCAI-89), pages 738-743, Detroit, MI, August
1989. BibTeX entry |
| [1100] |
L. Marquez, L. Padro, and H. Rodriguez.
A machine learning approach to POS tagging.
Machine Learning, 39(1):59-91, 1999. BibTeX entry |
| [1101] |
J. P. Martins and S. C. Shapiro.
A model for belief revision.
Artificial Intelligence, 35:25-79, 1988. BibTeX entry |
| [1102] |
Andr'es Marzal and Enrique Vidal.
Computation of normalized edit distance and applications.
IEEE Transactions on Pattern Analysis and Machine Intelligence,
15(9):926-932, 1993. BibTeX entry |
| [1103] |
L. Mason, J. Baxter, P. L. Bartlett, and M. Frean.
Advances in Large Margin Classifiers, chapter Functional
gradient techniques for combining hypotheses, pages 221-246.
MIT Press, 2000. BibTeX entry |
| [1104] |
Ofer Matan.
On-site learning.
Technical Report LOGIC-95-4, Logic Group, Stanford University, 1995. BibTeX entry |
| [1105] |
C. J. Matheus and L. A. Rendell.
Constructive induction on decision trees.
In Proceedings of the Eleventh International Joint Conference on
Artificial Intelligence (IJCAI-89), pages 645-650, Detroit, MI, August
1989. BibTeX entry |
| [1106] |
Yuji Matsumoto, Sadao Kurohashi, Takehito Utsuro, Yutaka Myoki, and Makoto
Nagao.
Japanese morphological analysis system JUMAN manual, version 2.0
(in Japanese).
Technical Report NAIST-IS-TR94025, Nara Institute of Science and
Technology, Nara, Japan, July 1994. BibTeX entry |
| [1107] |
Stephane Lapointe and Stan Matwin.
Sub-unification: A tool for efficient induction of recursive
programs.
In Proceedings of the Ninth International Conference on Machine
Learning (ICML-92), pages 273-281, Aberdeen, Scotland, 1992. BibTeX entry |
| [1108] |
S. Matwin and B. Plante.
A deductive-inductive method for theory revision.
In Proceedings of the First International Workshop on
Multistrategy Learning, pages 160-174, Harper's Ferry, W.Va., November
1991. BibTeX entry |
| [1109] |
III Marshall R. Mayberry.
A Bayesian approach to translating Japanese verb aspect to
english.
Report for a class project. The University of Texas at Austin, May
1995. BibTeX entry |
| [1110] |
Maytal Saar-Tsechansky and Foster J. Provost.
Active learning for class probability estimation and ranking.
In Proceedings of the Seventeenth International Joint Conference
on Artificial Intelligence (IJCAI-2001), pages 911-920, 2001. BibTeX entry |
| [1111] |
M. Saar-Tsechansky and F. Provost.
Active sampling for class probability estimation and ranking.
Machine Learning, 54:153-178, 2004. BibTeX entry |
| [1112] |
David McAllester.
A widely used truth-maintenance system.
Ai lab memo, MIT, Cambridge, MA, 1985. BibTeX entry |
| [1113] |
Andrew McCallum and Wei Li.
Early results for named entity recognition with conditional random
fields, feature induction and web-enhanced lexicons.
In Proc. of the Seventh Conference on Natural Language Learning
(CoNLL-2003), Edmonton, Canada, 2003. BibTeX entry |
| [1114] |
Andrew McCallum and Ben Wellner.
Toward conditional models of identity uncertainty with application to
proper noun coreference.
In Proceedings of the IJCAI-2003 Workshop on Information
Integration on the Web, pages 79-86, Acapulco, Mexico, August 2003. BibTeX entry |
| [1115] |
Andrew McCallum and David Jensen.
A note on the unification of information extraction and data mining
using conditional-probability, relational models.
In Proceedings of the IJCAI-2003 Workshop on Learning
Statistical Models from Relational Data, Acapulco, Mexico, August 2003. BibTeX entry |
| [1116] |
Andrew McCallum, Kamal Nigam, Jason Rennie, and Kristie Seymore.
A machine learning approach to building domain-specific search
engines.
In Proceedings of the Sixteenth International Joint Conference
on Artificial Intelligence (IJCAI-99), pages 662-667, Stockholm, Sweden,
1999. BibTeX entry |
| [1117] |
Andrew McCallum, Kamal Nigam, Jason Rennie, and Kristie Seymore.
Automating the construction of internet portals with machine
learning.
Information Retrieval, 3(2):127-163, 2000. BibTeX entry |
| [1118] |
Andrew McCallum, Kamal Nigam, and Lyle Ungar.
Efficient clustering of high-dimensional data sets with application
to reference matching.
In Proceedings of the Sixth International Conference on
Knowledge Discovery and Data Mining (KDD-2000), pages 169-178, Boston, MA,
August 2000. BibTeX entry |
| [1119] |
Andrew Kachites McCallum.
Mallet: A machine learning for language toolkit.
http://mallet.cs.umass.edu, 2002. BibTeX entry |
| [1120] |
Andrew McCallum, Dayne Freitag, and Fernando Pereira.
Maximum entropy Markov models for information extraction and
segmentation.
In Proceedings of the Seventeenth International Conference on
Machine Learning (ICML-2000), Stanford, CA, June 2000. BibTeX entry |
| [1121] |
Andrew McCallum and Kamal Nigam.
Employing EM and pool-based active learning for text
classification.
In Proceedings of the Fifteenth International Conference on
Machine Learning (ICML-98), Madison, WI, 1998. Morgan Kaufmann. BibTeX entry |
| [1122] |
Andrew McCallum, R. Rosenfeld, Tom Mitchell, and A. Y. Ng.
Improving text classification by shrinkage in a hierarchy of classes.
In Proceedings of the Fifteenth International Conference on
Machine Learning (ICML-98), pages 359-367, Madison, WI, 1998. BibTeX entry |
| [1123] |
Andrew McCallum, Khashayar Rohanimanesh, and Charles Sutton.
Dynamic conditional random fields for jointly labeling multiple
sequences.
In NIPS-2003 Workshop on Syntax, Semantics, Statistics, 2003. BibTeX entry |
| [1124] |
Andrew McCallum and Kamal Nigam.
A comparison of event models for naive Bayes text classification.
In Papers from the AAAI-98 Workshop on Text Categorization,
pages 41-48, Madison, WI, July 1998. BibTeX entry |
| [1125] |
Andrew McCallum.
Bow: A toolkit for statistical language modeling, text retrieval,
classification and clustering.
http://www.cs.cmu.edu/mccallum/bow, 1996. BibTeX entry |
| [1126] |
John McCarthy.
Circumscription - A form of non-monotonic reasoning.
Artificial Intelligence, 13:27-39, 1980. BibTeX entry |
| [1127] |
J. McCarthy.
Programs with common sense.
In M. Minksy, editor, Semantic Information Processing. MIT
Press, Cambridge, MA, 1968. BibTeX entry |
| [1128] |
John McCarthy and Wendy Lehnert.
Using decision trees for coreference resolution.
In Proceedings of the Fourteenth International Joint Conference
on Artificial Intelligence (IJCAI-95), pages 1050-1055, 1995. BibTeX entry |
| [1129] |
James L. McClelland and Alan H. Kawamoto.
Mechanisms of sentence processing: Assigning roles to constituents of
sentences.
In David E. Rumelhart and James L. McClelland, editors, Parallel
Distributed Processing, Vol. II, pages 318-362. MIT Press, Cambridge, MA,
1986. BibTeX entry |
| [1130] |
Kathleen de la Pena McCook and Gary O. Rolstad, editors.
Developing Readers' Advisory Services: Concepts and
Committments.
Neal-Schuman, New York, 1993. BibTeX entry |
| [1131] |
William W. McCune.
OTTER 2.0 users guide.
Technical Report ANL-90/9, Mathematics and Computer Science Division,
Argonne National Laboratory, Argonne, Illinois, March 1990. BibTeX entry |
| [1132] |
Drew McDermott.
A general framework for reason maintenance.
Artificial Intelligence, 50:289-329, 1991. BibTeX entry |
| [1133] |
Drew McDermott.
A critique of pure reason.
Computational Intelligence, 3:151-160, 1987. BibTeX entry |
| [1134] |
Drew McDermott.
Regression planning.
International Journal of Intelligent Systems, 6:357-416, 1991. BibTeX entry |
| [1135] |
R. McKay and H. Abbass.
Analyzing anticorrelation in ensemble learning.
In Proceedings of 2001 Conference on Artificial Neural Networks
and Expert Systems, pages 22-27, Otago, New Zealand, 2001. BibTeX entry |
| [1136] |
R. McKay and H. Abbass.
Anticorrelation measures in genetic programming.
In Australasia-Japan Workshop on Intelligent and Evolutionary
Systems, 2001. BibTeX entry |
| [1137] |
James L. McClelland and David E. Rumelhart.
Explorations in Parallel Distributed Processing: A Handbook of
Models, Programs, and Exercises.
MIT Press, Cambridge, MA, 1988. BibTeX entry |
| [1138] |
S. McNee, I. Albert, D. Cosley, P. Gopalkrishnan, S.K. Lam, A.M. Rashid, J.A.
Konstan, and J. Riedl.
On the recommending of citations for research papers.
In Proceedings of ACM 2002 Conference on Computer Supported
Cooperative Work, pages 116-125, New Orleans, LA, 2002. BibTeX entry |
| [1139] |
Paul McQuesten.
Abductive Banner.
Report for a class project. The University of Texas at Austin, Summer
1995. BibTeX entry |
| [1140] |
Mary Elaine Califf and Raymond J. Mooney.
Relational learning of pattern-match rules for information
extraction.
In Working Notes of AAAI Spring Symposium on Applying Machine
Learning to Discourse Processing, pages 6-11, Menlo Park, CA, 1998. AAAI
Press. BibTeX entry |
| [1141] |
Douglas L. Medin.
Concepts and conceptual structure.
American Psychologist, 44:1469-1481, 1989. BibTeX entry |
| [1142] |
Richard P. Meier.
Person deixis in American Sign Language.
In S. D. Fischer and P. Siple, editors, Theoretical Issues in
Sign Language Research. Vol. 1: Linguistics, pages 175-190. University of
Chicago Press, Chicago, 1990. BibTeX entry |
| [1143] |
Richard P. Meier.
Elicited imitation of verb agreement in American Sign Language:
Iconically or morphologically determined?
Journal of Memory and Language, 26:362-376, 1987. BibTeX entry |
| [1144] |
Richard P. Meier and Elissa L. Newport.
Out of the hands of babes: On a possible sign advantage in language
acquisition.
Language, 66:1-23, 1990. BibTeX entry |
| [1145] |
Marina Meila.
Comparing clusterings.
In Proceedings of the 16th Annual Conference on Computational
Learning Theory, 2003. BibTeX entry |
| [1146] |
Marina Meila and Jianbo Shi.
Learning segmentation by random walks.
In Advances in Neural Information Processing Systems 13, pages
873-879, 2001. BibTeX entry |
| [1147] |
Marina Meila and David Heckerman.
An experimental comparison of several clustering and initialization
methods.
Technical Report MSR-TR-98-06, Microsoft Research, February 1998. BibTeX entry |
| [1148] |
I. Dan Melamed.
Automatic construction of clean broad-coverage translation lexicons.
In Second Conference of the Association for Machine Translation
in the Americas, 1996. BibTeX entry |
| [1149] |
I. Dan Melamed.
Automatic evaluation and uniform filter cascades for inducing
N-best translation lexicons.
In Proceedings of the Third Workshop on Very Large Corpora,
1995. BibTeX entry |
| [1150] |
P. Melville, R. J. Mooney, and R. Nagarajan.
Content-boosted collaborative filtering for improved recommendations.
In Proceedings of the Eighteenth National Conference on
Artificial Intelligence (AAAI-2002), pages 187-192, Edmonton, Alberta,
2002. AAAI Press / The MIT Press. BibTeX entry |
| [1151] |
Prem Melville and Raymond J. Mooney.
Diverse ensembles for active learning.
Submitted for review, 2004. BibTeX entry |
| [1152] |
Prem Melville and Raymond J. Mooney.
Creating diversity in ensembles using artificial data.
Information Fusion: Special Issue on Diversity in
Multiclassifier Systems, 2004. BibTeX entry |
| [1153] |
Prem Melville and Ray Mooney.
Constructing diverse classifier ensembles using artificial training
examples.
In Proceedings of the Eighteenth International Joint Conference
on Artificial Intelligence, pages 505-510, Acapulco, Mexico, August 2003. BibTeX entry |
| [1154] |
Prem Melville, Nishit Shah, Lilyana Mihalkova, and Raymond J. Mooney.
Experiments on ensembles with missing and noisy data.
Submitted to Workshop on Multi Classifier Systems, 2004. BibTeX entry |
| [1155] |
Prem Melville, Nishit Shah, Lilyana Mihalkova, and Raymond J. Mooney.
Experiments on ensembles with missing and noisy data.
Technical report, University of Texas at Austin, Forthcoming 2004. BibTeX entry |
| [1156] |
Bernard Merialdo.
Tagging English text with a probabilistic model.
Computational Linguistics, 20(2):155-172, 1994. BibTeX entry |
| [1157] |
Srujana Merugu and Joydeep Ghosh.
Privacy-preserving distributed clustering using generative models.
In Proceedings of the Third IEEE International Conference on
Data Mining (ICDM-03), 2003. BibTeX entry |
| [1158] |
Chris J. Merz, Patrick M. Murphy, and David W. Aha.
Repository of machine learning databases
http://www.ics.uci.edu/~mlearn/mlrepository.html.
Department of Information and Computer Science, University of
California, Irvine, CA, 1996. BibTeX entry |
| [1159] |
Ramgopal Mettu and C. Greg Plaxton.
The online median problem.
In Proceedings of the 41st Annual IEEE Symposium on Foundations
of Computer Science, pages 339-348, 2000. BibTeX entry |
| [1160] |
Marc Mezard and Jean-Pierre Nadal.
Learning in feedforward layered networks: The tiling algorithm.
Journal of Physics, A22(12):2191-2203, 1989. BibTeX entry |
| [1161] |
Matjaz Gams.
New measurements highlight the importance of redundant knowledge.
In European Working Session on Learning (4th: 1989),
Montpeiller, France, 1989. BibTeX entry |
| [1162] |
Martin Michalowski, Snehal Thakkar, and Craig A. Knoblock.
Exploiting secondary sources for automatic object consolidation.
In Proceedings of the ACM SIGKDD-03 Workshop on Data Cleaning,
Record Linkage, and Object Consolidation, pages 34-36, Washington, DC,
August 2003. BibTeX entry |
| [1163] |
Ryszard S. Michalski, Igor Mozetic, Jiarong Hong, and Nada Lavrac.
The multi-purpose incremental learning system AQ15 and its testing
application to three medical domains.
In Proceedings of the Fifth National Conference on Artificial
Intelligence (AAAI-86), pages 1041-1045, Philadelphia, PA, August 1986. BibTeX entry |
| [1164] |
Ryszard S. Michalski.
A theory and methodology of inductive learning.
Artificial Intelligence, 20:111-161, 1983. BibTeX entry |
| [1165] |
Ryszard S. Michalski.
A theory and methodology of inductive learning.
In Ryszard S. Michalski, Jaime G. Carbonell, and Tom M. Mitchell,
editors, Machine Learning: An Artificial Intelligence Approach, pages
83-134. Tioga, 1983. BibTeX entry |
| [1166] |
Ryszard S. Michalski.
Synthesis of optimal and quasi-optimal variable valued logic
formulas.
In Proceedings of the 1975 International Symposium on
Multiple-Valued Logic, pages 76-87, Bloomington, IN, 1975. BibTeX entry |
| [1167] |
Ryszard S. Michalski and R. L. Chilausky.
Learning by being told and learning from examples: An experimental
comparison of the two methods of knowledge acquisition in the context of
developing an expert system for soybean disease diagnosis.
Journal of Policy Analysis and Information Systems,
4(2):126-161, 1980. BibTeX entry |
| [1168] |
Donald Michie, D. J. Spiegelhalter, and Charles C. Taylor, editors.
Machine Learning, Neural and Statistical Classification.
Ellis Horwood, Hertfordshire, UK, 1994. BibTeX entry |
| [1169] |
Risto Miikkulainen.
Subsymbolic Natural Language Processing: An Integrated Model
of Scripts, Lexicon, and Memory.
MIT Press, Cambridge, MA, 1993. BibTeX entry |
| [1170] |
Risto Miikkulainen and Michael G. Dyer.
Natural language processing with modular PDP networks and
distributed lexicon.
Cognitive Science, 15:343-399, 1991. BibTeX entry |
| [1171] |
Risto Miikkulainen.
Subsymbolic case-role analysis of sentences with embedded clauses.
Cognitive Science, 20(1):47-73, 1996. BibTeX entry |
| [1172] |
Risto Miikkulainen.
DISCERN: A Distributed Artificial Neural Network Model of
Script Processing and Memory.
PhD thesis, University of California, 1990. BibTeX entry |
| [1173] |
Scott Miller, Robert Bobrow, Robert Ingria, and Richard Schwartz.
Hidden understanding models of natural language.
In Proceedings of the 32nd Annual Meeting of the Association for
Computational Linguistics (ACL-94), pages 25-32, 1994. BibTeX entry |
| [1174] |
Scott Miller, David Stallard, Robert Bobrow, and Richard Schwartz.
A fully statistical approach to natural language interfaces.
In Proceedings of the 34th Annual Meeting of the Association for
Computational Linguistics (ACL-96), pages 55-61, Santa Cruz, CA, 1996. BibTeX entry |
| [1175] |
G. Miller and M. Johnston.
A case study of hubble and space telescope proposal processing,
planning and long-range scheduling.
In Processing of the Eight Conference on Computing in
Aerospace, pages 1-13, Washington, DC, 1991. BibTeX entry |
| [1176] |
G. Miller, R. Beckwith, C. Fellbaum, D. Gross, and K. Miller.
Introduction to WordNet: An on-line lexical database.
Available by ftp to clarity.princeton.edu, 1993. BibTeX entry |
| [1177] |
David J. Miller and James Browning.
A mixture model and EM algorithm for robust classification, outlier
rejection, and class discovery.
In IEEE International Conference on Acoustics, Speech and Signal
Processing, 2003. BibTeX entry |
| [1178] |
G. Miller.
WordNet: An on-line lexical database.
International Journal of Lexicography, 3(4), 1991. BibTeX entry |
| [1179] |
C. G. Miller and J. E. Laird.
A constraint-motivated model of lexical acquisition.
In Proceedings of the Eighth International Workshop on Machine
Learning, pages 95-99, 1991. BibTeX entry |
| [1180] |
Renée J. Miller and Yuping Yang.
Association rules over interval data.
In Joan Peckham, editor, Proceedings of the 1997 ACM SIGMOD
International Conference on Management of Data (SIGMOD-97), pages 452-461,
Tucson, AZ, May 1997. BibTeX entry |
| [1181] |
J. Mingers.
An empirical comparison of pruning methods for decision tree
induction.
Machine Learning, 4(2):227-243, November 1989. BibTeX entry |
| [1182] |
M. L. Minsky and S. A. Papert.
Perceptrons.
MIT Press, Cambridge:MA, 1969. BibTeX entry |
| [1183] |
S. Minton.
Quantitative results concerning the utility of explanation-based
learning.
In Proceedings of the Seventh National Conference on Artificial
Intelligence (AAAI-88), pages 564-569, St. Paul, MN, August 1988. BibTeX entry |
| [1184] |
Steven Minton.
Small is beautiful: A brute-force approach to learning first-order
formulas.
In Proceedings of the Twelfth National Conference on Artificial
Intelligence (AAAI-94), pages 168-174, Seattle, Washington, August 1994. BibTeX entry |
| [1185] |
S. Minton.
Explanation-based learning: A problem solving perspective.
Artificial Intelligence, 40:63-118, 1989. BibTeX entry |
| [1186] |
Steven Minton.
Quantitative results concerning the utility of explanation-based
learning.
Artificial Intelligence, 42:363-392, 1990. BibTeX entry |
| [1187] |
Steven Minton.
Minimizing conflicts: A heuristic repair method for constraint
satisfaction and scheduling problems.
Artificial Intelligence, 58:161-206, 1992. BibTeX entry |
| [1188] |
Steven Minton, John L. Bresina, and Mark Drummond.
Commitment strategies in planning: A comparative analysis.
In Proceedings of the Twelfth International Joint Conference on
Artificial Intelligence (IJCAI-91), pages 259-265, Sydney,Australia,
October 1991. BibTeX entry |
| [1189] |
Steven Minton.
An analytic learning system for specializing heuristics.
In Proceedings of the Thirteenth International Joint Conference
on Artificial Intelligence (IJCAI-93), pages 922-929, Chambery,France,
August 1993. BibTeX entry |
| [1190] |
Steven Minton, Mark Drummond, John L. Bresina, and Andrew B. Phillips.
Total order vs. partial order planning: Factors influencing
performance.
In Proceedings of the Third International Conference on
Principles of Knowledge Representation and Reasoning, pages 83-92,
Cambridge,CA, October 1992. BibTeX entry |
| [1191] |
S. N. Minton.
Learning Effective Search Control Knowledge: An
Explanantion-Based Approach.
PhD thesis, Carnegie-Mellon University, Pittsburgh, PA, March 1988. BibTeX entry |
| [1192] |
P. Mirchandani and R. Francis, editors.
Discrete Location Theory.
Wiley, New York, NY, 1990. BibTeX entry |
| [1193] |
Nina Mishra, Dana Ron, and Ram Swaminathan.
On finding large conjunctive clusters.
In Computational Learning Theory, 2003. BibTeX entry |
| [1194] |
T. M. Mitchell.
Generalization as search.
Artificial Intelligence, 18(2):203-226, 1982. BibTeX entry |
| [1195] |
Tom Mitchell, T. Utgoff, and R. Banerji.
Learning problem solving heuristics by experimentation.
In Ryszard S. Michalski, Tom M. Mitchell, and Jaime G. Carbonell,
editors, Machine Learning: An Artificial Intelligence Approach. Morgan
Kaufmann, Palo Alto, CA, 1983. BibTeX entry |
| [1196] |
T. M. Mitchell.
Toward combining empirical and analytic methods for learning
heuristics.
In A. Elithorn and R. Banerji, editors, Human and Artificial
Intelligence. North-Holland, Amsterdam, 1984. BibTeX entry |
| [1197] |
T. Mitchell.
Machine Learning.
McGraw-Hill, New York, NY, 1997. BibTeX entry |
| [1198] |
T.M. Mitchell, R. Caruana, D. Freitag, J. McDermott, and D. Zabowski.
Experience with a learning personal assistant.
Communications of the Association for Computing Machinery,
37(7):81-91, July 1994. BibTeX entry |
| [1199] |
Tom Mitchell.
The role of unlabeled data in supervised learning.
In Proceedings of the Sixth International Colloquium on
Cognitive Science, 1999. BibTeX entry |
| [1200] |
T. Mitchell.
Learning and problem solving.
In Proceedings of the Eighth International Joint Conference on
Artificial Intelligence (IJCAI-83), pages 1139-1151, Karlsruhe, West
Germany, August 1983. BibTeX entry |
| [1201] |
T. M. Mitchell, S. Mahadevan, and L. I. Steinberg.
LEAP: A learning apprentice for VLSI design.
In Proceedings of the Ninth International Joint Conference on
Artificial Intelligence (IJCAI-85), pages 573-580, Los Angeles, CA, August
1985. BibTeX entry |
| [1202] |
Tom M. Mitchell, Richard M. Keller, and Smadar T. Kedar-Cabelli.
Explanation-based generalization: A unifying view.
Machine Learning, 1(1):47-80, 1986. BibTeX entry |
| [1203] |
T. M. Mitchell.
Version Spaces: An Approach to Concept Learning.
PhD thesis, Stanford University, Palo Alto, CA, 1978. BibTeX entry |
| [1204] |
T. Mitchell.
The need for biases in learning generalizations.
Technical Report CBM-TR-117, Rutgers University, 1980.
Reprinted in Readings in Machine Learning, Jude W. Shavlik and
T. G. Dietterich (eds.), Morgan Kaufman, San Mateo, CA, 1990. BibTeX entry |
| [1205] |
M. Mitra, C. Buckley, C. Cardie, and A. Singhal.
An analysis of statistical and syntactic phrases.
In Proceedings of the 5th RIAO Conference, Computer-Assisted
Information Searching on the Internet, pages 200-214, 1997. BibTeX entry |
| [1206] |
Dunja Mladenic, editor.
Proceedings of the Sixth International Conference on Knowledge
Discovery and Data Mining (KDD-2000) Workshop on Text Mining, Boston, MA,
August 2000. BibTeX entry |
| [1207] |
Dunja Mladenic.
Machine Learning on Non-Homogeneous, Distributed Text Data.
PhD thesis, Faculty of Computer and Information Science, University
of Ljubljana, Ljubljana, Slovenia, 1998. BibTeX entry |
| [1208] |
Raymond J. Mooney, Prem Melville, Lappoon Rupert Tang, Jude Shavlik, Ines
de Castro Dutra, David Page, and Vitor Santos Costa.
Relational data mining with inductive logic programming for link
discovery.
In Proceedings of the National Science Foundation Workshop on
Next Generation Data Mining, 2002. BibTeX entry |
| [1209] |
Alvaro E. Monge and Charles P. Elkan.
An efficient domain-independent algorithm for detecting approximately
duplicate database records.
In Proceedings of the SIGMOD 1997 Workshop on Research Issues on
Data Mining and Knowledge Discovery, pages 23-29, Tuscon, AZ, May 1997. BibTeX entry |
| [1210] |
Alvaro E. Monge and Charles Elkan.
The field matching problem: Algorithms and applications.
In Proceedings of the Second International Conference on
Knowledge Discovery and Data Mining (KDD-96), pages 267-270, Portland, OR,
August 1996. BibTeX entry |
| [1211] |
Alvaro E. Monge.
An adaptive and efficient algorithm for detecting approximately
duplicate database records.
Submitted paper, 2000. BibTeX entry |
| [1212] |
Moody.
Moody's Handbook of Common Stocks.
Moody's Investment Service, New York, NY, 1986-1988. BibTeX entry |
| [1213] |
Raymond J. Mooney and S. W. Bennett.
A domain independent explanation-based generalizer.
In Proceedings of the Fifth National Conference on Artificial
Intelligence (AAAI-86), pages 551-555, Philadelphia, PA, August 1986. BibTeX entry |
| [1214] |
R. J. Mooney.
Integrating abduction and induction in machine learning.
In P. A. Flach and A. C. Kakas, editors, Abduction and
Induction, pages 181-191. Kluwer Academic Publishers, Dordrecht, The
Netherlands, 2000. BibTeX entry |
| [1215] |
Raymond J. Mooney.
Generalizing explanations of narratives into schemata.
In Tom M. Mitchell, Jaime G. Carbonell, and Ryszard S. Michalski,
editors, Machine Learning: A Guide to Current Research, pages 207-212.
Kluwer Academic Publishers, Norwell, MA, 1986. BibTeX entry |
| [1216] |
Raymond J. Mooney.
Explanation-based learning as concept formation.
In Douglas Fisher, Michael Pazzani, and Pat Langley, editors,
Concept Formation: Knowledge and Experience in Unsupervised Learning, pages
179-206. Morgan Kaufmann, San Mateo, CA, 1991. BibTeX entry |
| [1217] |
Raymond J. Mooney.
Integrating theory and data in category learning.
In G. Nakamura, R. Taraban, and D. L. Medin, editors,
Categorization by Humans and Machines: The Psychology of Learning and
Motivation, Vol. 29, pages 189-218. Academic Press, Orlando, FL, 1993. BibTeX entry |
| [1218] |
Raymond J. Mooney.
Explanation generalization in EGGS.
In Gerald F. DeJong, editor, Investigating Explanation-Based
Learning, pages 20-59. Kluwer Academic Publishers, Norwell, MA, 1993.
Reprinted in in Readings in Knowledge Acquisition and Learning,
Bruce G. Buchanan and David C. Wilkins (eds.), Morgan Kaufman, San Mateo, CA,
1993. BibTeX entry |
| [1219] |
Raymond J. Mooney.
Case study 2 - GENESIS: Learning schemata for narrative text
understanding.
In Gerald F. DeJong, editor, Investigating Explanation-Based
Learning, pages 343-371. Kluwer Academic Publishers, Norwell, MA, 1993. BibTeX entry |
| [1220] |
Raymond J. Mooney and Dirk Ourston.
A multistrategy approach to theory refinement.
In Ryszard S. Michalski and G. Teccuci, editors, Machine
Learning: A Multistrategy Approach, Vol. IV, pages 141-164. Morgan
Kaufmann, San Mateo, CA, 1994. BibTeX entry |
| [1221] |
Raymond J. Mooney.
A preliminary PAC analysis of theory revision.
In T. Petsche, S. Hanson, and Jude W. Shavlik, editors,
Computational Learning Theory and Natural Learning Systems, Vol. 3, pages
43-53. MIT Press, Cambridge, MA, 1995. BibTeX entry |
| [1222] |
Raymond J. Mooney and M. E. Califf.
Learning the past tense of english verbs using inductive logic
programming.
In S. Wermter, E. Riloff and G. Scheler, editors,
Connectionist, Statistical, and Symbolic Approaches to Learning for Natural
Language Processing, pages 370-384. Springer, Berlin, 1996. BibTeX entry |
| [1223] |
Raymond J. Mooney.
Inductive logic programming for natural language processing.
In Stephen Muggleton, editor, Inductive Logic Programming:
Selected papers from the 6th International Workshop, pages 3-22. Springer
Verlag, Berlin, 1997. BibTeX entry |
| [1224] |
Raymond J. Mooney.
A General Explanation-Based Learning Mechanism and its
Application to Narrative Understanding.
Pitman Publishers, London, 1990. BibTeX entry |
| [1225] |
Raymond J. Mooney.
Integrated learning of words and their underlying concepts.
In Proceedings of the Ninth Annual Conference of the Cognitive
Science Society, pages 947-978, Seattle, WA, July 1987. BibTeX entry |
| [1226] |
Raymond J. Mooney.
Learning plan schemata from observation: Explanation-based learning
for plan recognition.
Cognitive Science, 14(4):483-509, 1990. BibTeX entry |
| [1227] |
Raymond J. Mooney and L. Roy.
Content-based book recommending using learning for text
categorization.
In Proceedings of the Fifth ACM Conference on Digital
Libraries, pages 195-204, San Antonio, TX, June 2000. BibTeX entry |
| [1228] |
Raymond J. Mooney.
Comparative experiments on disambiguating word senses: An
illustration of the role of bias in machine learning.
In Proceedings of the Conference on Empirical Methods in Natural
Language Processing (EMNLP-96), pages 82-91, Philadelphia, PA, 1996. BibTeX entry |
| [1229] |
Raymond J. Mooney and Gerald F. DeJong.
Learning schemata for natural language processing.
In Proceedings of the Ninth International Joint Conference on
Artificial Intelligence (IJCAI-85), pages 681-687, Los Angeles, CA, August
1985. BibTeX entry |
| [1230] |
Raymond J. Mooney.
The effect of rule use on the utility of explanation-based learning.
In Proceedings of the Eleventh International Joint Conference on
Artificial Intelligence (IJCAI-89), pages 725-730, Detroit, MI, August
1989. BibTeX entry |
| [1231] |
Raymond J. Mooney, Jude W. Shavlik, Geoffrey G. Towell, and A. Gove.
An experimental comparison of symbolic and connectionist learning
algorithms.
In Proceedings of the Eleventh International Joint Conference on
Artificial Intelligence (IJCAI-89), pages 775-780, Detroit, MI, August
1989.
Reprinted in Readings in Machine Learning, Jude W. Shavlik and
T. G. Dietterich (eds.), Morgan Kaufman, San Mateo, CA, 1990. BibTeX entry |
| [1232] |
Raymond J. Mooney.
Integrating abduction and induction in machine learning.
In Working Notes of the IJCAI-97 Workshop on Abduction and
Induction in AI, pages 37-42, Nagoya, Japan, 1997. BibTeX entry |
| [1233] |
Raymond J. Mooney and Bradley L. Richards.
Automated debugging of logic programs via theory revision.
In Proceedings of the Second International Workshop on Inductive
Logic Programming (ILP-92), Tokyo, Japan, 1992. BibTeX entry |
| [1234] |
Raymond J. Mooney.
Inductive logic programming for natural-language processing.
In Proceedings of the Sixth International Workshop on Inductive
Logic Programming (ILP-96), pages 205-224, 1996. BibTeX entry |
| [1235] |
Raymond J. Mooney and M. E. Califf.
Induction of first-order decision lists: Results on learning the past
tense of English verbs.
Journal of Artificial Intelligence Research, 3:1-24, 1995. BibTeX entry |
| [1236] |
Raymond J. Mooney.
Learning for semantic interpretation: Scaling up without dumbing
down.
In Workshop Notes for the Workshop on Learning Language in
Logic, pages 7-15, Bled, Slovenia, 1999. BibTeX entry |
| [1237] |
Raymond J. Mooney and Dirk Ourston.
Induction over the unexplained: Integrated learning of concepts with
both explainable and conventional aspects.
In Proceedings of the Sixth International Workshop on Machine
Learning, pages 5-7, Ithaca, NY, June 1989. BibTeX entry |
| [1238] |
Raymond J. Mooney and Dirk Ourston.
Constructive induction in theory refinement.
In Proceedings of the Eighth International Workshop on Machine
Learning, pages 178-182, Evanston, IL, June 1991. BibTeX entry |
| [1239] |
Raymond J. Mooney.
Induction over the unexplained: Using overly general domain theories
to aid concept learning.
Machine Learning, 10:79-110, 1993. BibTeX entry |
| [1240] |
Raymond J. Mooney.
Encouraging experimental results on learning CNF.
Machine Learning, 19(1):79-92, 1995. BibTeX entry |
| [1241] |
Raymond J. Mooney and Dirk Ourston.
A multistrategy approach to theory refinement.
In Proceedings of the First International Workshop on
Multistrategy Learning, pages 115-130, Harper's Ferry, W.Va., November
1991. BibTeX entry |
| [1242] |
Raymond J. Mooney.
A review of 'an empirical comparison of ID3 and backpropagation' by
fisher and mckusick.
Neural Network Review, 4(2):84-86, 1990. BibTeX entry |
| [1243] |
Raymond J. Mooney, P. Bennett, and L. Roy.
Book recommending using text categorization with extracted
information.
In Papers from the AAAI-98 Workshop on Recommender Systems,
pages 70-74, Madison, WI, 1998. BibTeX entry |
| [1244] |
Raymond J. Mooney and J. M. Zelle.
Integrating ILP and EBL.
Sigart Bulletin (special issue on Inductive Logic
Programmming), 5(1):12-21, 1994. BibTeX entry |
| [1245] |
Raymond J. Mooney and L. Roy.
Content-based book recommending using learning for text
categorization.
In Proceedings of the SIGIR-99 Workshop on Recommender Systems:
Algorithms and Evaluation, Bekeley, CA, 1999. BibTeX entry |
| [1246] |
Raymond J. Mooney, P. Bennett, and L. Roy.
Book recommending using text categorization with extracted
information.
In Papers from the AAAI-98 Workshop on Text Categorization,
pages 49-54, Madison, WI, 1998. BibTeX entry |
| [1247] |
Raymond J. Mooney.
A General Explanation-Based Learning Mechanism and its
Application to Narrative Understanding.
PhD thesis, University of Illinois, Urbana, IL, January 1988.
Also appears as Technical Report UILU-ENG-87-2269, Coordinated
Science Laboratory, University of Illinois at Urbana-Champaign. BibTeX entry |
| [1248] |
Raymond J. Mooney, Dirk Ourston, and S. Y. Wu.
Induction over the unexplained: A new approach to combining
empirical and explanation-based learning.
Technical Report AI89-110, Artificial Intelligence Laboratory,
University of Texas, Austin, TX, August 1989. BibTeX entry |
| [1249] |
Raymond J. Mooney and Dirk Ourston.
Theory refinement with noisy data.
Technical Report AI91-153, Artificial Intelligence Laboratory,
University of Texas, Austin, TX, March 1991. BibTeX entry |
| [1250] |
R. Moore, M. Cohen, V. Abrash, D. Appelt, H. Bratt, J. Butzberger, L. Cherny,
J. Dowding, H. Franco, J. Gawron, and D. Moran.
SRI's recent progress on the ATIS task.
In Proceedings ARPA spoken language systems technology
workshop, pages 6-8, 1994. BibTeX entry |
| [1251] |
Jerome Moore, Eui-Hong (Sam) Han, Daniel Boley, Maria Gini, Robert Gross, Kyle
Hastings, George Karypis, Vipin Kumar, , and Bamshard Mobasher.
Web page categorization and feature selection using association rule
and principal component clustering.
In Proceedings of the 7th Workshop on Information Technologies
and Systems, 1997. BibTeX entry |
| [1252] |
Y.S. Abu-Mostafa.
Hints.
Neural Computation, 7:639-671, 1995. BibTeX entry |
| [1253] |
R. Motwani and P. Raghavan.
Randomized Algorithms.
Cambridge University Press, 1995. BibTeX entry |
| [1254] |
Michael C. Mozer and Paul Smolensky.
Skeletonization: A technique for trimming the fat from a network
via relevance assessment.
In David S. Touretzky, editor, Advances in Neural Information
Processing Systems 1, pages 107-115. Morgan Kaufmann, San Mateo, CA, 1989. BibTeX entry |
| [1255] |
DARPA, editor.
Proceedings of the Third Message Understanding Evaluation and
Conference (MUC-91), San Mateo, CA, 1991. Morgan Kaufmann. BibTeX entry |
| [1256] |
DARPA, editor.
Proceedings of the Fourth Message Understanding Evaluation and
Conference (MUC-92), San Mateo, CA, 1992. Morgan Kaufmann. BibTeX entry |
| [1257] |
DARPA, editor.
Proceedings of the Fifth Message Understanding Evaluation and
Conference (MUC-93), San Mateo, CA, 1993. Morgan Kaufmann. BibTeX entry |
| [1258] |
DARPA, editor.
Proceedings of the Sixth Message Understanding Evaluation and
Conference (MUC-95), San Mateo, CA, 1995. Morgan Kaufmann. BibTeX entry |
| [1259] |
DARPA, editor.
Proceedings of the Seventh Message Understanding Evaluation and
Conference (MUC-98), Fairfax, VA, April 1998. Morgan Kaufmann. BibTeX entry |
| [1260] |
A. Srinivasan, Stephen H. Muggleton, M. J. Sternberg, and R. D. King.
Theories for mutagenicity: A study in first-order and feature-based
induction.
Artificial Intelligence, 85:277-300, 1996. BibTeX entry |
| [1261] |
Stephen Muggleton and C. Feng.
Efficient induction of logic programs.
In Proceedings of the First Conference on Algorithmic Learning
Theory, Tokyo, Japan, 1990. Ohmsha. BibTeX entry |
| [1262] |
Stephen Muggleton and C. Feng.
Efficient induction of logic programs.
In Stephen Muggleton, editor, Inductive Logic Programming,
pages 281-297. Academic Press, New York, 1992. BibTeX entry |
| [1263] |
Stephen H. Muggleton, editor.
Inductive Logic Programming.
Academic Press, New York, NY, 1992. BibTeX entry |
| [1264] |
S. Muggleton, A. Srinivasan, and M. Bain.
Compression, significance and accuracy.
In D. Sleeman and P. Edwards, editors, Proceedings of the 9th
International Workshop on Machine Learning, pages 338-347. Morgan Kaufmann,
1992. BibTeX entry, Available here |
| [1265] |
Stephen Muggleton.
DUCE, an oracle based approach to constructive induction.
In Proceedings of the Tenth International Joint Conference on
Artificial Intelligence (IJCAI-87), pages 287-292, Milan, Italy, August
1987. BibTeX entry |
| [1266] |
Stephen Muggleton.
Inverting implication.
In Proceedings of the Second International Workshop on Inductive
Logic Programming (ILP-92), Tokyo, Japan, June 1992. BibTeX entry |
| [1267] |
Stephen H. Muggleton and Luc De Raedt.
Inductive logic programming: Theory and methods.
Journal of Logic Programming, 19:629-679, 1994. BibTeX entry |
| [1268] |
S. Muggleton.
Inductive Logic Programming.
In The MIT Encyclopedia of the Cognitive Sciences (MITECS).
MIT Press, 1999. BibTeX entry, Available here |
| [1269] |
Stephen Muggleton and W. Buntine.
Machine invention of first-order predicates by inverting resolution.
In Proceedings of the Fifth International Conference on Machine
Learning (ICML-88), pages 339-352, Ann Arbor, MI, June 1988. BibTeX entry |
| [1270] |
Stephen H. Muggleton, A. Srinivasan, and M. E. Bain.
Compression, significance and accuracy.
In Proceedings of the Ninth International Conference on Machine
Learning, 1992. BibTeX entry |
| [1271] |
Stephen Muggleton.
Inverse entailment and Progol.
New Generation Computing Journal, 13:245-286, 1995. BibTeX entry |
| [1272] |
Stephen Muggleton, R. King, and M. Sternberg.
Protein secondary structure prediction using logic-based machine
learning.
Protein Engineering, 5(7):647-657, 1992. BibTeX entry |
| [1273] |
R. Muller.
Nemesis: The Death Star.
Weidenfeld and Nicolson, New York, New York, 1988. BibTeX entry |
| [1274] |
Smaranda Muresan and Judith L. Klavans.
A method for automatically building and evaluating dictionary
resources.
In Proceedings of the 3rd International Conference on Language
Resources & Evaluation (LREC-2002), Las Palmas, Spain, May 2002. BibTeX entry |
| [1275] |
Marilyn A. Murphy and Gayle V. Davidson.
Computer-based adaptive instruction: Effects of learner control on
concept learning.
Journal of Computer-Based Instruction, 18(2):51-56, 1991. BibTeX entry |
| [1276] |
P. M. Murphy and Michael J. Pazzani.
ID2-of-3: Constructive induction of M-of-N concepts for
discriminators in decision trees.
In Proceedings of the Eighth International Workshop on Machine
Learning, pages 183-187, Evanston, IL, June 1991. BibTeX entry |
| [1277] |
G. L. Murphy and D. L. Medin.
The role of theories in conceptual coherence.
Psychological Review, 92:289-316, 1985. BibTeX entry |
| [1278] |
W. R. Murray.
Automatic Program Debugging for Intelligent Tutoring Systems.
Pitman Publishing, London, 1988. BibTeX entry |
| [1279] |
K. S. Murray and B. W. Porter.
Controlling search for the consequences of new information during
knowledge integration.
In Proceedings of the Sixth International Workshop on Machine
Learning, pages 290-295, Ithaca, NY, June 1989. BibTeX entry |
| [1280] |
K. S. Murray.
KI: An experiment in automating knowledge integration.
Technical Report AI88-90, University of Texas, Austin, TX, October
1989. BibTeX entry |
| [1281] |
Ronald C. Musick.
Belief Network Induction.
PhD thesis, University of California at Berkeley, 1994. BibTeX entry |
| [1282] |
I. Muslea, S. Minton, and C. A. Knoblock.
Selective sampling with redundant views.
In Proceedings of the Seventeenth National Conference on
Artificial Intelligence (AAAI-2000), pages 621-626, 2000. BibTeX entry |
| [1283] |
Ion Muslea, Steven Minton, and Craig A. Knoblock.
A hierarchical approach to wrapper induction.
In Proceedings of the Third Annual Conference on Autonomous
Agents, pages 190-197, Seatttle, WA, May 1999. ACM. BibTeX entry |
| [1284] |
Ion Muslea, Steve Minton, and Craig Knoblock.
Wrapper induction for semistructured, web-based information sources.
In The Proceedings of the Conference on Automatic Learning and
Discovery (CONALD-98), Pittsburgh, PA, 2000. BibTeX entry |
| [1285] |
Ion Muslea.
Active + semi-supervised learning = robust multi-view learning.
In Proceedings of the 19th International Conference on Machine
Learning (ICML 2002), pages 435-442, 2002. BibTeX entry |
| [1286] |
Ion Muslea.
Extraction patterns for information extraction tasks: A survey.
In Mary Elaine Califf, editor, Papers from the Sixteenth
National Conference on Artificial Intelligence (AAAI-99) Workshop on Machine
Learning for Information Extraction, Orlando, FL, July 1999. AAAI Press. BibTeX entry |
| [1287] |
I. Muslea, S. Minton, and C. A. Knoblock.
Selective sampling + semi-supervised learning = robost multi-view
learning.
In IJCAI-01 Workshop on Text-Categorization: Beyond
Supervision, 2001. BibTeX entry |
| [1288] |
Ion Muslea.
Active learning with multiple views.
PhD thesis, University of Southern California, 2002. BibTeX entry |
| [1289] |
Ion Muslea, Steve Minton, and Craig Knoblock.
Selective sampling + semi-supervised learning = robust multi-view
learning.
In Proceedings of IJCAI-2001 Workshop on Text Learning Beyond
Supervision, 2001. BibTeX entry |
| [1290] |
S. A. Mussman, C. W. Chang, and L. Booker.
Real time control strategy for Bayesian belief networks with
application to ship classification problem solving.
In Proceedings of IEEE Conference on Tools for Artificial
Intelligence, pages 738-744. IEEE Society Press, 1990. BibTeX entry |
| [1291] |
L. Breiman.
Bagging predictors.
Machine Learning, 24(2):123-140, 1996. BibTeX entry |
| [1292] |
Un Yong Nahm and Raymond J. Mooney.
A mutually beneficial integration of data mining and information
extraction.
In Proceedings of the Seventeenth National Conference on
Artificial Intelligence (AAAI-2000), pages 627-632, Austin, TX, July 2000. BibTeX entry |
| [1293] |
Un Yong Nahm and Raymond J. Mooney.
Mining soft-matching association rules.
In Proceedings of the Eleventh International Conference on
Information and Knowledge Management (CIKM-2002), pages 681-683, McLean,
VA, November 2002. BibTeX entry |
| [1294] |
Un Yong Nahm, Mikhail Bilenko, and Raymond J. Mooney.
Two approaches to handling noisy variation in text mining.
In Papers from the Nineteenth International Conference on
Machine Learning (ICML-2002) Workshop on Text Learning, pages 18-27,
Sydney, Australia, July 2002. BibTeX entry |
| [1295] |
Un Yong Nahm and Raymond J. Mooney.
Mining soft-matching rules from textual data.
In Proceedings of the Seventeenth International Joint Conference
on Artificial Intelligence (IJCAI-2001), pages 979-984, Seattle, WA, July
2001. BibTeX entry |
| [1296] |
Un Yong Nahm and Raymond J. Mooney.
Using information extraction to aid the discovery of prediction rules
from texts.
In Proceedings of the Sixth International Conference on
Knowledge Discovery and Data Mining (KDD-2000) Workshop on Text Mining,
pages 51-58, Boston, MA, August 2000. BibTeX entry |
| [1297] |
Un Yong Nahm and Raymond J. Mooney.
Text mining with information extraction.
In Proceedings of the AAAI 2002 Spring Symposium on Mining
Answers from Texts and Knowledge Bases, Stanford, CA, 2002. BibTeX entry |
| [1298] |
Hiroshi Nakagawa.
Prolog program transformations and tree manipulation algorithms.
Journal of Logic Programming, 2:77-91, 1985. BibTeX entry |
| [1299] |
L. L. Nanny and S. R. Waxman.
Words and gestures: Infants' interpretations of different forms of
symbolic reference.
Child Development, 69:295-308, 1998. BibTeX entry |
| [1300] |
R. M. Neal.
Connectionist learning of belief networks.
Artificial Intelligence, 56:71-113, 1992. BibTeX entry |
| [1301] |
R. M. Neal and G. E. Hinton.
A view of the EM algorithm that justifies incremental, sparse, and
other variants.
In M. I. Jordan, editor, Learning in Graphical Models, pages
355-368. MIT Press, 1998. BibTeX entry |
| [1302] |
S. B. Needleman and C. D. Wunsch.
A general method applicable to the search for similarities in the
amino acid sequences of two proteins.
Journal of Molecular Biology, 48:443-453, 1970. BibTeX entry |
| [1303] |
Valeriy I. Nenov and Michael G. Dyer.
Perceptually grounded language learning: Part 2-DETE: A
neural/procedural model.
Connection Science, 6(1):3-41, 1994. BibTeX entry |
| [1304] |
J. Neville, M. Adler, and D. Jensen.
Clustering relational data using attribute and link information.
In Proceedings of the IJCAI-2003 Text Mining and Link Analysis
Workshop, 2003. BibTeX entry |
| [1305] |
Jennifer Neville and David Jensen.
Iterative classification in relational data.
In Papers from the AAAI-00 Workshop on Learning Statistical
Models from Relational Data, Austin, TX, 2000. AAAI Press / The MIT Press. BibTeX entry |
| [1306] |
H. B. Newcombe, J. M. Kennedy, S. J. Axford, and A. P. James.
Automatic linkage of vital records.
Science, 130:954-959, 1959. BibTeX entry |
| [1307] |
Elissa L. Newport.
Constraints on structure: Evidence from American Sign Language and
language learning.
In W. A. Collins, editor, Aspects of the Development of
Competence. Erlbaum, Hillsdale, NJ, 1981. BibTeX entry |
| [1308] |
Elissa L. Newport and Richard P. Meier.
The acquisition of American Sign Language.
In Dan I. Slobin, editor, The Crosslinguistic Study of Language
Acquisition. Volume 1: The Data, pages 881-938. Lawrence Erlbaum and
Associates, Hillsdale, NJ, 1985. BibTeX entry |
| [1309] |
Hwee Tou Ng and Raymond J. Mooney.
The role of coherence in constructing and evaluating abductive
explanations.
In Working Notes of the AAAI Spring Symposium on Automated
Abduction, Stanford, CA, March 1990. BibTeX entry |
| [1310] |
Hwee Tou Ng and Raymond J. Mooney.
The role of coherence in abductive explanation.
In Proceedings of the Eighth National Conference on Artificial
Intelligence (AAAI-90), pages 337-442, Detroit, MI, July 1990. BibTeX entry |
| [1311] |
Hwee Tou Ng and Raymond J. Mooney.
An efficient first-order Horn-clause abduction system based on the
ATMS.
In Proceedings of the Ninth National Conference on Artificial
Intelligence (AAAI-91), pages 494-499, Anaheim, CA, July 1991. BibTeX entry |
| [1312] |
Hwee Tou Ng and H. B. Lee.
Integrating multiple knowledge sources to disambiguate word sense: An
exemplar-based approach.
In Proceedings of the 34th Annual Meeting of the Association for
Computational Linguistics (ACL-96), pages 40-47, Santa Cruz, CA, 1996. BibTeX entry |
| [1313] |
Hwee Tou Ng and J. Zelle.
Corpus-based approaches to semantic interpretation in natural
language processing.
AI Magazine, 18(4):45-64, 1997. BibTeX entry |
| [1314] |
Hwee Tou Ng.
Model-based, multiple fault diagnosis of time-varying, continuous
physical devices.
In Proceedings of the Sixth IEEE Conference on Artificial
Intelligence Applications, pages 9-15, Santa Barbara, CA, 1990.
Reprinted in Readings in Model-based Diagnosis, W. Hamscher, L.
Console, and J. de Kleer (eds.), Morgan Kaufman, San Mateo, CA, 1992. BibTeX entry |
| [1315] |
Hwee Tou Ng, Leong Hwee Teo, and Jennifer Lai Pheng Kwan.
A machine learning approach to answering questions for reading
comprehension tests.
In Proceedings of the Joint SIGDAT Conference on Empirical
Methods in Natural Language Processing and Very Large
Corpora(EMNLP/VLC-2000), pages 124-132, Hong Kong, October 2000. BibTeX entry |
| [1316] |
Hwee Tou Ng.
Model-based, multiple-fault diagnosis of dynamic, continuous physical
devices.
IEEE Expert, 6(6):38-43, 1991. BibTeX entry |
| [1317] |
Hwee Tou Ng and Raymond J. Mooney.
Abductive plan recognition and diagnosis: A comprehensive empirical
evaluation.
In Proceedings of the Third International Conference on
Principles of Knowledge Representation and Reasoning, pages 499-508,
Cambridge, MA, October 1992. BibTeX entry |
| [1318] |
Hwee Tou Ng and Raymond J. Mooney.
Occam's Razor isn't sharp enough: The importance of coherence in
abductive explanation.
In Working Notes of the Second AAAI Workshop on Plan
Recognition, Detroit, Michigan, August 1989. BibTeX entry |
| [1319] |
Hwee Tou Ng, Wei Boon Goh, and Kok Leong Low.
Feature selection, perceptron learning, and a usability case study
for text categorization.
In Proceedings of 20th International ACM SIGIR Conference on
Research and Development in Information Retrieval, pages 67-73,
Philadelphia, PA, 1997. BibTeX entry |
| [1320] |
Hwee Tou Ng.
A General Abductive System with Applications to Plan Recognition
and Diagnosis.
PhD thesis, Department of Computer Sciences, University of Texas,
Austin, TX, May 1992.
Also appears as Artificial Intelligence Laboratory Technical Report
AI 92-177. BibTeX entry |
| [1321] |
Hwee Tou Ng.
A computerized prototype natural language tour guide.
Technical Report AI88-75, Artificial Intelligence Laboratory,
University of Texas, Austin, TX, April 1988. BibTeX entry |
| [1322] |
Hwee Tou Ng and Raymond J. Mooney.
Abductive explanations for text understanding: Some problems and
solutions.
Technical Report AI89-116, Artificial Intelligence Laboratory,
University of Texas, Austin, TX, August 1989. BibTeX entry |
| [1323] |
Hwee Tou Ng and Raymond J. Mooney.
An efficient first-order abduction system based on the ATMS.
Technical Report AI91-151, Artificial Intelligence Laboratory,
Department of Computer Sciences, The University of Texas at Austin, January
1991. BibTeX entry |
| [1324] |
Kamal Nigam, Andrew McCallum, Sebastian Thrun, and Tom Mitchell.
Learning to classify text from labeled and unlabeled documents.
In Proceedings of the Fifteenth National Conference on
Artificial Intelligence (AAAI-98), pages 792-799, Madison, WI, July 1998. BibTeX entry |
| [1325] |
Kamal Nigam and Rayid Ghani.
Analyzing the effectiveness and applicability of co-training.
In Proceedings of the Ninth International Conference on
Information and Knowledge (CIKM-2000), pages 86-93, 2000. BibTeX entry |
| [1326] |
Kamal Nigam, John Lafferty, and Andrew McCallum.
Using maximum entropy for text classification.
In Proceedings of the IJCAI-99 Workshop on Information
Filtering, Stockholm, Sweden, 1999. BibTeX entry |
| [1327] |
K. Nigam, A. K. McCallum, S. Thrun, and T. Mitchell.
Text classification from labeled and unlabeled documents using EM.
Machine Learning, 39:103-134, 2000. BibTeX entry |
| [1328] |
Kamal Nigam.
Using Unlabeled Data to Improve Text Classification.
PhD thesis, Carnegie Mellon University, 2001. BibTeX entry |
| [1329] |
Nils J. Nilsson.
Principles of Artificial Intelligence.
Tioga, Palo Alto, CA, 1980. BibTeX entry |
| [1330] |
Sergei Nirenburg, editor.
Machine Translation: Theoretical and Methodological Issues.
Cambridge University Press, Cambridge, England, 1987. BibTeX entry |
| [1331] |
Sergei Nirenburg, Jaime Carbonell, Masaru Tomita, and Kenneth Goodman.
Machine Translation: A Knowledge-Based Approach.
Morgan Kaufmann, San Mateo, CA, 1992. BibTeX entry |
| [1332] |
National Institute of Standards and Technology.
ACE - Automatic Content Extraction.
http://www.nist.gov/speech/tests/ace/. BibTeX entry |
| [1333] |
David C. Noelle and Garrison W. Cottrell.
Towards instructable connectionist systems.
In R. Sun and L. Bookman, editors, Computational Architectures
Integrating Neural and Symbolic Processes, pages 187-221. Kluwer,
Dordrecht; Boston, 1994. BibTeX entry |
| [1334] |
Michael O. Noordewier, Geoffrey G. Towell, and Jude W. Shavlik.
Training knowledge-based neural networks to recognize genes in DNA
sequences.
In Advances in Neural Information Processing Systems 3, San
Mateo, CA, 1991. Morgan Kaufmann. BibTeX entry |
| [1335] |
Bernd Nordhausen and Pat Langley.
An integrated framework for empirical discovery.
Machine Learning, 12:17-47, 1993. BibTeX entry |
| [1336] |
Peter Norvig.
Paradigms of Artificial Intelligence Programming: Case Studies
in Common Lisp.
Morgan Kaufmann, San Mateo, CA, 1992. BibTeX entry |
| [1337] |
Peter Norvig and Robert Wilensky.
A critical evaluation of commensurable abduction models for semantic
interpretation.
In Proceedings of the Thirteenth International Conference on
Computational Linguistics, Helsinki, Finland, August 1990. BibTeX entry |
| [1338] |
Peter Norvig.
Frame activated inferences in a story understanding program.
In Proceedings of the Eighth International Joint Conference on
Artificial Intelligence (IJCAI-83), pages 624-626, Karlsruhe, West Germany,
August 1983. BibTeX entry |
| [1339] |
Peter Norvig.
Unified Theory of Inference for Text Understanding.
PhD thesis, Computer Science Division, University of California at
Berkeley, Berkeley, CA, 1987.
Technical Report No. UCB/CSD 87/339. BibTeX entry |
| [1340] |
David G. Novick and Brian Hansen.
Mutuality strategies for reference in task-oriented dialogue.
In Proceedings of the 9th Twente Workshop on Language
Technology, Enschede, Netherlands, 1995. BibTeX entry |
| [1341] |
Hyacinth S. Nwana.
User modelling and user adapted interaction in an intelligent
tutoring system.
User Modeling and User-Adapted Interaction, 1:1-32, 1991. BibTeX entry |
| [1342] |
New York Times.
Doubleclick to buy retailing database keeper.
June 5, 1999. BibTeX entry |
| [1343] |
Lisa M. Oakes and Leslie B. Cohen.
Infant causal perception.
In Carolyn Rovee-Collier and Lewis P. Lipsitt, editors, Advances
in Infancy Research. Ablex, Norwood, NJ, 1994. BibTeX entry |
| [1344] |
Lisa M. Oakes and Leslie B. Cohen.
Infant perception of a causal event.
Cognitive Development, 5:193-207, 1990. BibTeX entry |
| [1345] |
H. Ogata, S. Goto, K. Sato, W. Fujibuchi, H. Bono, and M. Kanehisa.
KEGG: Kyoto encyclopedia of genes and genomes.
Nucleic Acids Res., 27:29-34, 1999. BibTeX entry |
| [1346] |
Pat Langely, James Wogulis, and Stellan Ohlsson.
Rules and principles in cognitive diagnosis.
In N. Frederiksen, R. Glaser, A. Lesgold, and M. Shafto, editors,
Diagnostic Monitoring of Skill and Knowledge Acquisition, chapter 10.
Lawrence Erlbaum and Associates, 1990. BibTeX entry |
| [1347] |
Stellan Ohlsson and Pat Langley.
Identifying solution paths in cognitive diagnosis.
Technical Report CMU-RI-TR-85-2, Carnegie-Mellon University,
Pittsburgh, PA., 1985. BibTeX entry |
| [1348] |
William J. O'Neil.
How to Make Money in Stocks.
McGraw-Hill, 1988. BibTeX entry |
| [1349] |
M. C. O'Neill and F. Chiafari.
Escherichia coli promoters.
Journal of Biological Chemistry, 264:5531-5534, 1989. BibTeX entry |
| [1350] |
Nelleke Oostdijk and Pieter de Haan, editors.
Corpus-based Research Into Language.
Rodopi, Amsterdam, 1994. BibTeX entry |
| [1351] |
David Opitz.
Feature selection for ensembles.
In Proceedings of 16th National Conference on Artificial
Intelligence (AAAI), pages 379-384, 1999. BibTeX entry |
| [1352] |
D. Opitz and J. Shavlik.
Actively searching for an effective neural-network ensemble.
Connection Science, 8, 1996. BibTeX entry |
| [1353] |
David W. Opitz and Jude W. Shavlik.
Heuristically expanding knowledge-based neural networks.
In Proceedings of the Thirteenth International Joint Conference
on Artificial Intelligence (IJCAI-93), pages 512-517, Chamberry, France,
1993. BibTeX entry |
| [1354] |
D. W. Opitz and J. W. Shavlik.
Connectionist theory refinement: Genetically searching the space of
network topologies.
Journal of Artificial Intelligence Research, 6:177-209, 1997. BibTeX entry |
| [1355] |
David Opitz and Richard Maclin.
Popular ensemble methods: An empirical study.
Journal of Artificial Intelligence Research, 11:169-198, 1999. BibTeX entry |
| [1356] |
Michael D. Orlansky and John D. Bonvillian.
Sign language acquisition: Language development in children of deaf
parents and implications for other populations.
Merrill-Palmer Quarterly, 31:127-143, 1985. BibTeX entry |
| [1357] |
Paul O'Rorke, editor.
Working Notes of the AAAI Spring Symposium on Automated
Abduction, Stanford, CA, March 1990. BibTeX entry |
| [1358] |
Paul O'Rorke.
Reasons for beliefs in understanding: Applications of non-monotonic
dependencies to story processing.
In Proceedings of the Third National Conference on Artificial
Intelligence (AAAI-83), pages 306-309, Washington, D.C., 1983. BibTeX entry |
| [1359] |
Paul O'Rorke, Steven Morris, and David Schulenburg.
Theory formation by abduction: A case study based on the chemical
revolution.
In Jeff Shrager and Pat Langley, editors, Computational Models
of Scientific Discovery and Theory Formation. Morgan Kaufmann, 1990. BibTeX entry |
| [1360] |
Paul O'Rorke.
Automated abduction and machine learning.
In Working Notes of the AAAI Spring Symposium on
Explanation-Based Learning, pages 170-174, 1988. BibTeX entry |
| [1361] |
Paul O'Rorke, Steven Morris, and David Schulenburg.
Theory formation by abduction: Initial results of a case study based
on the chemical revolution.
In Proceedings of the Sixth International Workshop on Machine
Learning, 1989. BibTeX entry |
| [1362] |
Paul O'Rorke and Timothy Cain.
Explanations involving emotions.
In Working Notes of the Workshop on Plan Recognition, National
Conference on Artificial Intelligence, St. Paul, Minnesota, 1988. BibTeX entry |
| [1363] |
Dirk Ourston and Raymond Mooney.
Changing the rules: A comprehensive approach to theory refinement.
In Proceedings of the Eighth National Conference on Artificial
Intelligence (AAAI-90), pages 815-820, Boston, MA, July 1990. BibTeX entry |
| [1364] |
Dirk Ourston and Raymond J. Mooney.
Theory refinement combining analytical and empirical methods.
Artificial Intelligence, 66:311-344, 1994. BibTeX entry |
| [1365] |
Dirk Ourston and Raymond J. Mooney.
Improving shared rules in multiple category domain theories.
In Proceedings of the Eighth International Workshop on Machine
Learning, pages 534-538, Evanston, IL, June 1991. BibTeX entry |
| [1366] |
Dirk Ourston.
Using Explanation-Based and Empirical Methods in Theory
Revision.
PhD thesis, Department of Computer Sciences, University of Texas,
Austin, TX, August 1991.
Also appears as Artificial Intelligence Laboratory Technical Report
AI 91-164. BibTeX entry |
| [1367] |
Dirk Ourston and Raymond J. Mooney.
Improving shared rules in multiple category domain theories.
Technical Report AI90-150, Artificial Intelligence Laboratory,
University of Texas, Austin, TX, December 1990. BibTeX entry |
| [1368] |
Olayiwola Oluwemimo Oyeleye, Francis Eric Finch, and M. A. Kramer.
Qualitative modeling and fault diagnosis of dynamic processes by
Midas.
Chemical Engineering Communications, 96:205-228, 1990. BibTeX entry |
| [1369] |
Balaji Padmanabhan, Zhiqiang Zheng, and Steven O. Kimbrough.
Personalization from incomplete data: what you don't know can hurt.
In Proceedings of the Seventh ACM SIGKDD International
Conference on Knowledge Discovery and Data Mining (KDD-2001), pages
154-163, 2001. BibTeX entry |
| [1370] |
B. Padmanabhan and A. Tuzhilin.
A belief-driven method for discovering unexpected rules.
In Proceedings of the Fourth International Conference on
Knowledge Discovery and Data Mining (KDD-98), pages 94-100, 1998. BibTeX entry |
| [1371] |
Giulia M. Pagallo and David Haussler.
Boolean feature discovery in empirical learning.
Machine Learning, 5:71-100, 1990. BibTeX entry |
| [1372] |
Giulia M. Pagallo.
Adaptive Decision Tree Algorithms for Learning from Examples.
PhD thesis, University of California, Santa Cruz, CA, June 1990. BibTeX entry |
| [1373] |
Chris Paice.
Constructing literature abstracts by computer: Techniques and
prospects.
Information Processing and Management, 26:171-186, 1990. BibTeX entry |
| [1374] |
Georgios Paliouras, Vangelis Karkaletsis, and Constantine D. Spyropoulos.
Learning rules for large vocabulary word sense disambiguation.
In Proceedings of the Sixteenth International Joint Conference
on Artificial Intelligence (IJCAI-99), pages 674-679, Stockholm, Sweden,
1999. BibTeX entry |
| [1375] |
J. Pan.
Qualitative reasoning with deep-level mechanism models for diagnoses
of mechanism failures.
In Proceedings of the 1st IEEE Conference on AI Applications,
pages 295-301, Denver, CO, 1984. BibTeX entry |
| [1376] |
Robert Frederking and et al.
The Pangloss Mark III machine translation system.
In Proceedings of the 1st AMTA Conference, 1994. BibTeX entry |
| [1377] |
Yoh-Han Pao.
Adaptive Pattern Recognition and Neural Networks.
Addison-Wesley, Reading, MA, 1989. BibTeX entry |
| [1378] |
J.C. Park, H. S. Kim, and J. J. Kim.
Bidirectional incremental parsing for automatic pathway
identification with combinatory categorial grammar.
In Proceedings of the 6th Pacific Symposium on Biocomputing,
pages 396-407, 2001. BibTeX entry |
| [1379] |
Hanna Pasula, Bhaskara Marthi, Brian Milch, Stuart Russell, and Ilya Shpitser.
Identity uncertainty and citation matching.
In Advances in Neural Information Processing Systems 15. MIT
Press, 2003. BibTeX entry |
| [1380] |
Michael J. Pazzani and Clifford Brunk.
Finding accurate frontiers: A knowledge-intensive approach to
relational learning.
In Proceedings of the Eleventh National Conference on Artificial
Intelligence (AAAI-93), pages 328-334, Washington, D.C., 1993. BibTeX entry |
| [1381] |
Michael J. Pazzani, Jack Muramatsu, and Daniel Billsus.
Syskill & Webert: Identifying interesting web sites.
In Proceedings of the Thirteenth National Conference on
Artificial Intelligence (AAAI-96), pages 54-61, Portland, OR, August 1996. BibTeX entry |
| [1382] |
Michael J. Pazzani, Clifford Brunk, and Glenn Silverstein.
An information-based approach to integrating empirical and
explanation-based learning.
In Stephen Muggleton, editor, Inductive Logic Programming,
pages 373-394. Academic Press, New York, 1992. BibTeX entry |
| [1383] |
Michael J. Pazzani.
Explanation and generalization based memory.
In Proceedings of the Seventh Annual Conference of the Cognitive
Science Society, pages 323-328, Irvine, CA, August 1985. BibTeX entry |
| [1384] |
Michael J. Pazzani.
Detecting and correcting errors of omission after explanation-based
learning.
In Proceedings of the Eleventh International Joint Conference on
Artificial Intelligence (IJCAI-89), pages 713-718, Detroit, MI, August
1989. BibTeX entry |
| [1385] |
Michael J. Pazzani.
Influence of prior knowledge on concept acquisition: Experimental and
computational results.
Journal of Experimental Psychology: Learning, Memory, and
Cognition, 17:416-432, 1991. BibTeX entry |
| [1386] |
Michael J. Pazzani and Clifford Brunk.
Detecting and correcting errors in rule-based expert systems: An
integration of empirical and explanation-based learning.
In Proceedings of the 5th Knowledge Acquisition for
Knowledge-Based Systems Workshop, Banff, Canada, October 1990. BibTeX entry |
| [1387] |
Michael J. Pazzani.
Inducing causal and social theories: A prerequisite for
explanation-based learning.
In Proceedings of the Fourth International Workshop on Machine
Learning, pages 230-241, Irvine, CA, June 1987. BibTeX entry |
| [1388] |
Michael J. Pazzani.
Integrated learning with incorrect and incomplete theories.
In Proceedings of the Fifth International Conference on Machine
Learning (ICML-88), pages 291-297, Ann Arbor, MI, June 1988. BibTeX entry |
| [1389] |
Michael Pazzani, Clifford Brunk, and Glenn Silverstein.
A knowledge-intensive approach to learning relational concepts.
In Proceedings of the Eighth International Workshop on Machine
Learning, pages 432-436, Evanston, IL, June 1991. BibTeX entry |
| [1390] |
Michael J. Pazzani and Dennis F. Kibler.
The utility of background knowledge in inductive learning.
Machine Learning, 9:57-94, 1992. BibTeX entry |
| [1391] |
Michael J. Pazzani and Daniel Billsus.
Learning and revising user profiles: The identification of
interesting web sites.
Machine Learning, 27(3):313-331, 1997. BibTeX entry |
| [1392] |
Michael J. Pazzani.
Learning Causal Relationships: An Integration of Empirical and
Explanation-Based Learning Methods.
PhD thesis, UCLA, Los Angeles, CA, June 1988. BibTeX entry |
| [1393] |
Judea Pearl.
Evidential reasoning under uncertainty.
In Howard E. Shrobe, editor, Exploring Artificial Intelligence,
pages 381-418. Morgan Kaufmann, San Mateo, CA, 1988. BibTeX entry |
| [1394] |
Judea Pearl.
Probabilistic Reasoning in Intelligent Systems: Networks of
Plausible Inference.
Morgan Kaufmann, San Mateo,CA, 1988. BibTeX entry |
| [1395] |
Judea Pearl and T. S. Verma.
A theory of inferred causation.
In Proceedings of the Second International Conference on
Principles of Knowledge Representation and Reasoning, pages 441-452, 1991. BibTeX entry |
| [1396] |
Ted Pedersen and Weidong Chen.
Lexical acquisition via constraint solving.
In Papers from the 1995 AAAI Symposium on the Representation and
Acquisition of Lexical Knowledge: Polysemy, Ambiguity, and Generativity,
pages 118-122, Stanford, CA, 1995. BibTeX entry |
| [1397] |
E. P. D. Pendault.
ADL: Exploring the middle ground between strips and the situation
calculus.
In Proceedings of the First International Conference on
Principles of Knowledge Representation and Reasoning, 1989. BibTeX entry |
| [1398] |
Charles Sanders Peirce.
Collected Papers of Charles Sanders Peirce.
MIT Press, Cambridge, Mass., 1958. BibTeX entry |
| [1399] |
Dan Pelleg and Andrew Moore.
X-means: Extending k-means with efficient estimation of the number of
clusters.
In Proceedings of the Seventeenth International Conference on
Machine Learning (ICML-2000), 2000. BibTeX entry |
| [1400] |
J. Scott Penberthy and Daniel S. Weld.
UCPOP: A sound, complete, partial order planner for ADL.
In Proceedings of the Third International Conference on
Principles of Knowledge Representation and Reasoning, pages 113-114,
Cambridge,MA, October 1992. BibTeX entry |
| [1401] |
Yun Peng and James A. Reggia.
Abductive Inference Models for Diagnostic Problem-Solving.
Springer Verlag, New York, 1990. BibTeX entry |
| [1402] |
Fernando C. N. Pereira and Yves Shabes.
Inside-outside reestimation from partially bracketed corpora.
In Proceedings of the 30th Annual Meeting of the Association for
Computational Linguistics (ACL-92), pages 128-135, Newark, Delaware, 1992. BibTeX entry |
| [1403] |
Fernando C. N. Pereira, Naftali Tishby, and Lillian Lee.
Distributional clustering of English words.
In Proceedings of the 31st Annual Meeting of the Association for
Computational Linguistics (ACL-93), pages 183-190, Columbus, Ohio, 1993. BibTeX entry |
| [1404] |
Fernando C. N. Pereira and Stuart Shieber.
Prolog and Natural Language Analysis.
Center for the Study of Language and Information, Stanford, CA, 1987. BibTeX entry |
| [1405] |
Fernando C. N. Pereira and David H. D. Warren.
Definite clause grammars for language analysis - A survey of the
formalisms and a comparison with augmented transition networks.
Artificial Intelligence, 13, 3:231-278, 1980. BibTeX entry |
| [1406] |
Carolina Perez-Iratxeta, P. Bork, and M. A. Andrade.
Association of genes to genetically inherited diseases using data
mining.
Nature Genetics, 31(3):316-319, July 2002. BibTeX entry |
| [1407] |
M. Alicia Pérez and Jaime G. Carbonell.
Control knowledge to improve the plan quality.
In Proceedings of the Second International Conference of AI
Planning Systems, Chicago, IL, June 1994. BibTeX entry |
| [1408] |
Mike Perkowitz and Oren Etzioni.
Adaptive web sites: Automatically synthesizing web pages.
In Proceedings of the Fifteenth National Conference on
Artificial Intelligence (AAAI-98), pages 727-732, Madison, WI, July 1998. BibTeX entry |
| [1409] |
Mike Perkowitz and Oren Etzioni.
Adaptive web sites: An AI challenge problem.
In Proceedings of the Fifteenth International Joint Conference
on Artificial Intelligence (IJCAI-97), pages 16-21, Nagoya, Japan, 1997. BibTeX entry |
| [1410] |
M. Perkowitz and O. Etzioni.
Adaptive web sites: Conceptual cluster mining.
In Proceedings of the Sixteenth International Joint Conference
on Artificial Intelligence (IJCAI-99), pages 264-269, 1999. BibTeX entry |
| [1411] |
Shirley A. Perry and Peter Willett.
A review of the use of inverted files for best match searching in
information retrieval systems.
Journal of Information Science, 6:59-66, 1983. BibTeX entry |
| [1412] |
Peterson and Barney.
Control methods used in a study of the vowels.
J. Acoust. Soc. Am., 24(2):175-184, 1952. BibTeX entry |
| [1413] |
J. L. Peterson.
Computation sequence sets.
Journal of Computer and Systems Sciences, 19(1):1-24, 1976. BibTeX entry |
| [1414] |
Laura Ann Petitto.
``Language'' in the pre-linguistic child.
In F. S. Kessel, editor, The development of language and
language researchers. Erlbaum, Hillsdale, NJ, 1988. BibTeX entry |
| [1415] |
P. Jonathon Phillips.
Support vector machines applied to face recognition.
In M. J. Kearns, S. A. Solla, and D. A. Cohn, editors, Advances
in Neural Information Processing Systems 11. MIT Press, 1999. BibTeX entry |
| [1416] |
Gregory Piatetsky-Shapiro and William J. Frawley, editors.
Knowledge Discovery in Databases.
AAAI Press/MIT Press, Cambridge, MA, 1991. BibTeX entry |
| [1417] |
G. Piatetsky-Shapiro.
Design, analysis and presentation of strong rules.
In G. Piatetsky-Shapiro and W. J. Frawley, editors, Knowledge
Discovery in Databases, pages 229-248. AAAI/MIT Press, 1991. BibTeX entry |
| [1418] |
Massimo Piattelli-Palmarini, editor.
Language and Learning: The Debate between Jean Piaget and Noam
Chomsky.
Harvard University Press, Cambridge, MA, 1980. BibTeX entry |
| [1419] |
John M. Pierre.
Mining knowledge from text collections using automatically generated
metadata.
In Dimitris Karagiannis and Ulrich Reimer, editors, Proceedings
of the Fourth International Conference on Practical Aspects of Knowledge
Management (PAKM-2002), pages 537-548, Vienna, Austria, December 2002.
Springer.
Lecture Notes in Computer Sicnece Vol. 2569. BibTeX entry |
| [1420] |
Steven Pinker.
The bootstrapping problem in language acquisition.
In Brian MacWhinney, editor, Mechanisms of Language
Acquisition, pages 399-441. Lawrence Erlbaum and Associates, Hillsdale, NJ,
1987. BibTeX entry |
| [1421] |
Steven Pinker and Alan Prince.
On language and connectionism: Analysis of a parallel distributed
model of language acquisition.
In Steven Pinker and Jacques A. Mehler, editors, Connections and
Symbols, pages 73-193. MIT Press, Cambridge, MA, 1988. BibTeX entry |
| [1422] |
Steven Pinker.
Resolving a learnability paradox in the acquisition of the verb
lexicon.
In M. Rice and R. Schiefelbusch, editors, The Teachability of
Language, pages 13-61. Paul H. Brookes Publishing Co., Inc, 1993. BibTeX entry |
| [1423] |
Steven Pinker, editor.
The Language Instinct: How the Mind Creates Language.
William Morrow, N.Y., 1994. BibTeX entry |
| [1424] |
S. Pinker.
How could a child use verb syntax to learn verb semantics?
Lingua, 92:377-410, 1994. BibTeX entry |
| [1425] |
Steven Pinker.
Resolving a learnability paradox in the acquisition of the verb
lexicon.
Lexicon project working papers 17, MIT Center for Cognitive Science,
1987. BibTeX entry |
| [1426] |
David Pinto, Andrew McCallum, Xing Wei, and W. Bruce Croft.
Table extraction using conditional random fields.
In Proceedings of 26th International ACM SIGIR Conference on
Research and Development in Information Retrieval, Toronto, Canada, 2003. BibTeX entry |
| [1427] |
L. Pitt and Leslie G. Valiant.
Computational limitations on learning from examples.
Journal of the Association for Computing Machinery,
35(4):965-984, 1988. BibTeX entry |
| [1428] |
J. Platt.
Fast training of support vector machines using sequential minimal
optimization.
In B. Scholkopf, C. J. C. Burges, and A. J. Smola, editors,
Advances in Kernel Methods - Support Vector Learning, pages 185-208. MIT
Press, Cambridge, MA, 1999. BibTeX entry |
| [1429] |
John C. Platt.
Probabilistic outputs for support vector machines and comparisons to
regularized likelihood methods.
In Alexander J. Smola, Peter Bartlett, Bernhard Schölkopf, and
Dale Schuurmans, editors, Advances in Large Margin Classifiers, pages
185-208. MIT Press, 1999. BibTeX entry |
| [1430] |
C. Greg Plaxton, September 2003.
Personal communication. BibTeX entry |
| [1431] |
G. D. Plotkin.
A note on inductive generalization.
In B. Meltzer and D. Michie, editors, Machine Intelligence (Vol.
5). Elsevier North-Holland, New York, 1970. BibTeX entry |
| [1432] |
G. D. Plotkin.
A note on inductive generalisation.
Machine Intelligence, 5:153-163, 1970. BibTeX entry |
| [1433] |
G. D. Plotkin.
A further note on inductive generalization.
Machine Intelligence, 6(101-124), 1971. BibTeX entry |
| [1434] |
K. Plunkett and V. Marchman.
U-shaped learning and frequency effects in a multilayered
perceptron: Implications for child language acquisition.
Cognition, 38:43-102, 1991. BibTeX entry |
| [1435] |
K. Plunkett and V. Marchman.
From rote learning to system building: Acquiring verb morphology in
children and connectionist nets.
Cognition, 48(1):21-69, 1993. BibTeX entry |
| [1436] |
Peter Norvig.
Paradigms of Artificial Intelligence Programming: Case Studies
in Common Lisp.
Morgan Kaufmann, San Mateo, California, 1992. BibTeX entry |
| [1437] |
Martha E. Pollack.
Plan recognition beyond STRIPS.
In Working Notes of the Second AAAI Workshop on Plan
Recognition, Detroit, Michigan, August 1989. BibTeX entry |
| [1438] |
C. Pollard and I. Sag.
Head-driven Phrase Structure Grammar.
University of Chicago Press, 1994. BibTeX entry |
| [1439] |
D. L. Poole, R. G. Goebel, and R. Aleliunas.
Theorist: A logical reasoning system for defaults and diagnosis.
In N. J. Cercone and G. McCalla, editors, The Knowledge
Frontier: Essays in the Representation of Knowledge, pages 331-352.
Springer Verlag, New York, 1987. BibTeX entry |
| [1440] |
D. Poole.
Representing knowledge for logic-based diagnosis.
In Proceedings of the International Conference on Fifth
Generation Computing Systems, pages 1282-1290, Tokyo, Japan, 1988. BibTeX entry |
| [1441] |
D. Poole.
Normality and faults in logic-based diagnosis.
In Proceedings of the Eleventh International Joint Conference on
Artificial Intelligence (IJCAI-89), pages 1304-1310, Detroit, MI, 1989. BibTeX entry |
| [1442] |
Ana-Maria Popescu, Oren Etzioni, and Henry Kautz.
Towards a theory of natural language interfaces to databases.
In Proceedings of the 2003 International Conference on
Intelligent User Interfaces (IUI-2003), pages 149-157, Miami, FL, January
2003. ACM. BibTeX entry |
| [1443] |
Alexandrin Popescul, Gary Flake, Steve Lawrence, Lyle Ungar, and C. Lee Giles.
Clustering and identifying temporal trends in document databases.
In IEEE Advances in Digital Libraries (ADL-2000), pages
173-182, Washington, DC, 2000. BibTeX entry |
| [1444] |
Alexandrin Popescul, Lyle H. Ungar, David M. Pennock, and Steve Lawrence.
Probabilistic models for unified collaborative and content-based
recommendation in sparse-data environments.
In Proceedings of 17th Conference on Uncertainty in Artificial
Intelligence (UAI-01), Seattle, WA, 2001. BibTeX entry |
| [1445] |
Harry E. Pople, Jr.
On the mechanization of abductive logic.
In Proceedings of the Third International Joint Conference on
Artificial Intelligence (IJCAI-73), pages 147-152, 1973. BibTeX entry |
| [1446] |
B. W. Porter, R. Bareiss, and R. C. Holte.
Concept learning and heuristic classification in weak-theory domains.
Artificial Intelligence, 45:229-263, 1990. BibTeX entry |
| [1447] |
B. W. Porter and Raymond J. Mooney, editors.
Proceedings of the Eighth International Workshop on Machine
Learning, San Mateo, CA, June 1991. Morgan Kaufmann. BibTeX entry |
| [1448] |
Bruce W. Porter and Dennis F. Kibler.
Experimental goal regression: A method for learning
problem-solving.
Machine Learning, 1(3):249-285, 1986. BibTeX entry |
| [1449] |
M. J. Powell.
Radial basis functions for multivariable interpolation: A review.
In J. Mason and M. Cox, editors, Algorithms for Approximation,
pages 143-167. Clarendon Press, Oxford, 1987. BibTeX entry |
| [1450] |
Malcolm Pradhan, Gregory Provan, Blackford Middleton, and Max Henrion.
Knowledge engineering for large belief networks.
In Proceedings of the Tenth Conference on Uncertainty in
Artificial Intelligence (UAI-94), pages 484-490, Seattle, WA, July 1994. BibTeX entry |
| [1451] |
Bob Price and Craig Boutilier.
A bayesian approach to imitation in reinforcement learning.
In Proceedings of the Seventeenth International Joint Conference
on Artificial Intelligence (IJCAI-2003), Acapulco, Mexico, 2003. BibTeX entry |
| [1452] |
A. Prieditis and J. Mostow.
PROLEARN: Towards a Prolog interpreter that learns.
In Proceedings of the Sixth National Conference on Artificial
Intelligence (AAAI-87), Seattle, WA, July 1987. BibTeX entry |
| [1453] |
P. Proctor, editor.
Longman Dictionary of Contemporary English.
Longman Group, Harlow, Essex, UK, 1978. BibTeX entry |
| [1454] |
Denys Proux, François Rechenmann, Laurent Julliard, Violaine Pillet, and
Bernard Jacq.
Detecting gene symbols and names in biological texts: A first step
toward pertinent information extraction.
Genome Informatics, 9:72-80, 1998.
GIW '98. BibTeX entry |
| [1455] |
D. Proux, F. Rechenmann, and L. Julliard.
A pragmatic information extraction strategy for gathering data on
genetic interactions.
In Proceedings of the 9th International Conference on
Intelligent Systems for Molecular Biology (ISMB-2001), pages 279-85, 2000. BibTeX entry |
| [1456] |
Gregory M. Provan and Moninder Singh.
Learning Bayesian networks using feature selection.
In Proceedings of the Workshop on Artificial Intelligence and
Statistics, pages 291-300, New York, 1994. Springer Verlag. BibTeX entry |
| [1457] |
G. Provan, April 1994.
Personal communication. BibTeX entry |
| [1458] |
F. Provost and P. Domingos.
Well-trained pets: Improving probability estimation trees.
Technical Report IS-00-04, Stern School of Business, New York
University, 2000. BibTeX entry |
| [1459] |
R. Duda, J. Gaschnig, and P. Hart.
Model design in the prospector consultant system for mineral
exploration.
In D. Michie, editor, Expert systems in the micro-electronic
age. Edinburgh University Press, Edinburgh, England, 1979. BibTeX entry |
| [1460] |
P. Smith and R. Goodman.
Rule induction using information theory.
In Gregory Piatetsky-Shapiro, editor, Knowledge Discovery in
Databases. MIT Press, Menlo Park, CA:AAAI Press, 1992. BibTeX entry |
| [1461] |
James Pustejovsky.
The generative lexicon.
MIT Press, Cambridge, MA, 1995. BibTeX entry |
| [1462] |
J. Pustejovsky, J. Castano, J. Zhang, M. Kotecki, and B. Cochran.
Robust relational parsing over biomedical literature: Extracting
inhibit relations.
In Proceedings of the 7th Pacific Symposium on Biocomputing,
pages 362-373, 2002. BibTeX entry |
| [1463] |
P. A. Whigham and R. I. McKay.
Genetic programming and inductive logic.
Technical Report CS14/94, University College, University of New South
Wales, 1994. BibTeX entry |
| [1464] |
M. R. Quillian.
Semantic memory.
In M. Minksy, editor, Semantic Information Processing. MIT
Press, Cambridge, MA, 1968. BibTeX entry |
| [1465] |
J. Ross Quinlan.
Bagging, boosting, and C4.5.
In Proceedings of the Thirteenth National Conference on
Artificial Intelligence (AAAI-96), pages 725-730, Portland, OR, August
1996. BibTeX entry |
| [1466] |
J. Ross Quinlan.
Past tenses of verbs and first-order learning.
In C. Zhang, J. Debenham, and D. Lukose, editors, Proceedings of
the Seventh Australian Joint Conference on Artificial Intelligence, pages
13-20, Singapore, 1994. World Scientific. BibTeX entry |
| [1467] |
Ross Quinlan.
Boosting first-order learning.
In Proceedings of 7th International Workshop on Algorithmic
Learning Theory, pages 143-155, 1996. BibTeX entry |
| [1468] |
J. Ross Quinlan.
Learning efficient classification procedures and their application to
chess end games.
In Ryszard S. Michalski, Jaime G. Carbonell, and Tom M. Mitchell,
editors, Machine Learning: An Artificial Intelligence Approach. Morgan
Kaufmann, Los Altos, CA, 1983. BibTeX entry |
| [1469] |
J. Ross Quinlan.
The effect of noise on concept learning.
In Ryszard S. Michalski, Jaime G. Carbonell, and Tom M. Mitchell,
editors, Machine Learning: An Artificial Intelligence Approach, Volume
II, pages 149-166. Morgan Kaufmann, 1986. BibTeX entry |
| [1470] |
J. Ross Quinlan.
C4.5: Programs for Machine Learning.
Morgan Kaufmann, San Mateo,CA, 1993. BibTeX entry |
| [1471] |
J. Ross Quinlan and R. M. Cameron-Jones.
FOIL: A midterm report.
In Proceedings of the European Conference on Machine Learning,
pages 3-20, Vienna, 1993. BibTeX entry |
| [1472] |
J. Ross Quinlan.
Generating production rules from decision trees.
In Proceedings of the Tenth International Joint Conference on
Artificial Intelligence (IJCAI-87), pages 304-307, Milan, Italy, August
1987. BibTeX entry |
| [1473] |
J. Ross Quinlan and Ronald L. Rivest.
Inferring decision trees using the minimum description length
principle.
Information and Computation, 80:227-248, 1989. BibTeX entry |
| [1474] |
J. Ross Quinlan.
Learning first-order definitions of functions.
Journal of Artificial Intelligence Research, 5:139-161, 1996. BibTeX entry |
| [1475] |
J. Ross Quinlan.
Unknown attribute values in induction.
In Proceedings of the Sixth International Workshop on Machine
Learning, pages 164-168, Ithaca, NY, June 1989. BibTeX entry |
| [1476] |
J. Ross Quinlan.
Determinate literals in inductive logic programming.
In Proceedings of the Eighth International Workshop on Machine
Learning, Evanston, IL, June 1991. BibTeX entry |
| [1477] |
J. Ross Quinlan.
Induction of decision trees.
Machine Learning, 1(1):81-106, 1986. BibTeX entry |
| [1478] |
J. Ross Quinlan.
Learning logical definitions from relations.
Machine Learning, 5(3):239-266, 1990. BibTeX entry |
| [1479] |
R. Mike Cameron-Jones and J. Ross Quinlan.
Efficient top-down induction of logic programs.
SIGART Bulletin, 5(1):33-42, January 1994. BibTeX entry |
| [1480] |
P. C. Quinn and Mark H. Johnson.
The emergence of perceptual category representations during early
development: A connectionist analysis.
In Proceedings of the Eighteenth Annual Conference of the
Cognitive Science Society, pages 638-643, Hillsdale, NJ, 1996. Lawrence
Erlbaum and Associates. BibTeX entry |
| [1481] |
P. C. Quinn and Mark H. Johnson.
Global before basic perceptual category representations in
connectionist networks and 2-month-old infants.
In Papers of the International Conference on Infant Studies,
Atlanta, GA, 1998. BibTeX entry |
| [1482] |
Randolph Quirk, Sidney Greenbaum, Geoffrey Leech, and Jan Svartvik.
A Comprehensive Grammar of the English Language.
Longman, London and New York, 1985. BibTeX entry |
| [1483] |
Lawrence R. Rabiner.
A tutorial on hidden Markov models and selected applications in
speech recognition.
Proceedings of the IEEE, 77(2):257-286, 1989. BibTeX entry |
| [1484] |
R. Rada, H. Mili, E. Bicknell, and M. Blettner.
Development and application of a metric on semantic nets.
IEEE Transactions on Systems, Man and Cybernetics,
19(1):17-30, 1989. BibTeX entry |
| [1485] |
Dragomir R. Radev.
Learning correlations between linguistic indicators and semantic
constraints: Reuse of context-dependent descriptions of entities.
In Proceedings of the 36th Annual Meeting of the Association for
Computational Linguistics and COLING-98 (ACL/COLING-98), Montreal, Quebec,
1998. BibTeX entry |
| [1486] |
Dragomir R. Radev and Kathleen R. McKeown.
Generating natural language summaries from multiple on-line sources.
Computational Linguistics, 24(3):469-500, September 1998. BibTeX entry |
| [1487] |
Andrew Radford.
Transformational Grammar.
Cambridge University Press, Cambridge, England, 1988. BibTeX entry |
| [1488] |
Raman Rajagopalan and Benjamin J. Kuipers.
The figure understander: a system for integrating text and diagram
input to a knowledge base.
In Proceedings of the Seventh International Conference on
Industrial and Engineering Applications of Artificial Intelligence and Expert
Systems, Seattle, WA, 1994. BibTeX entry |
| [1489] |
Shankar A. Rajamoney.
A computational approach to theory revision.
In Jeff Shrager and Pat Langley, editors, Computational Models
of Scientific Discovery and Theory Formation, pages 225-254. Morgan
Kaufmann, San Mateo, CA, 1990. BibTeX entry |
| [1490] |
Shankar A. Rajamoney and Gerald F. DeJong.
Active explanation reduction: An approach to the multiple
explanations problem.
In Proceedings of the Fifth International Conference on Machine
Learning (ICML-88), pages 242-255, Ann Arbor, MI, June 1988. BibTeX entry |
| [1491] |
Shankar A. Rajamoney.
Exemplar-based theory rejection.
In Proceedings of the Sixth International Workshop on Machine
Learning, pages 284-289, Ithaca, NY, June 1989. BibTeX entry |
| [1492] |
Liva Ralaivola and Florence d'Alche-Buc.
Incremental support vector machine learning: A local approach.
In International Conference on Artificial Neural Networks,
pages 322-330, 2001. BibTeX entry, Available here |
| [1493] |
Sowmya Ramachandran.
Refinement of Bayesian networks by combining connectionist and
symbolic techniques, 1995.
Unpublished Ph.D. Thesis Proposal. BibTeX entry |
| [1494] |
Sowmya Ramachandran and Raymond J. Mooney.
Revising Bayesian networks parameters using backpropagation.
In International Conference on Neural Networks: Plenary, Panel
and Special Sessions, pages 82-87, Washington D.C., USA, June 1996. BibTeX entry |
| [1495] |
Sowmya Ramachandran and Raymond J. Mooney.
Theory refinement for Bayesian networks with hidden variables.
In Proceedings of the Fifteenth International Conference on
Machine Learning (ICML-98), pages 454-462, Madison, WI, 1998. Morgan
Kaufmann. BibTeX entry |
| [1496] |
Sowmya Ramachandran and Lorien Y. Pratt.
Information measure based skeletonisation.
In Advances in Neural Information Processing Systems 4, 1992. BibTeX entry |
| [1497] |
Sowmya Ramachandran, Raymond J. Mooney, and Benjamin J. Kuipers.
Learning qualitative models for systems with multiple operating
regions.
In Proceedings of the Eighth International Workshop on
Qualitative Reasoning about Physical Systems, Nara, Japan, 1994. Nara
Institute of Science and Technology. BibTeX entry |
| [1498] |
Sowmya Ramachandran.
Theory Refinement of Bayesian Networks with Hidden Variables.
PhD thesis, Department of Computer Sciences, University of Texas,
Austin, TX, May 1998.
Also appears as Artificial Intelligence Laboratory Technical Report
AI 98-265 (see http://www.cs.utexas.edu/users/ai-lab). BibTeX entry |
| [1499] |
Sowmya Ramachandran and Raymond J. Mooney.
Revising Bayesian network parameters using backpropagation.
Unpublished, January 1996. BibTeX entry |
| [1500] |
K. Ramamohanarao and J. Harland.
An introduction to deductive database languages and systems.
VLDB Journal, 3:2, 1994. BibTeX entry |
| [1501] |
Lance A. Ramshaw and Mitchell P. Marcus.
Text chunking using transformation-based learning.
In Proceedings of the Third Workshop on Very Large Corpora,
1995. BibTeX entry |
| [1502] |
R. Bharat Rao and Stephen C-Y Lu.
Learning engineering models with the minimum length description
principle.
In Proceedings of the Tenth National Conference on Artificial
Intelligence (AAAI-92), 1992. BibTeX entry |
| [1503] |
Anand S. Rao and Norman Y. Foo.
Formal theories of belief revision.
In Proceedings of the First International Conference on
Principles of Knowledge Representation and Reasoning, pages 369-380,
Toronto, Ont., 1989. BibTeX entry |
| [1504] |
R. Bharat Rao, Diana F. Gordon, and William M. Spears.
For every generalization action is there really an equal an opposite
reaction? Analysis of the conservation law for generalization performance.
In Proceedings of the Twelfth International Conference on
Machine Learning (ICML-95), pages 471-479, San Francisco, CA, 1995. Morgan
Kaufmann. BibTeX entry |
| [1505] |
Edie M. Rasmussen.
Clustering algorithms.
In W. B. Frakes and Ricardo Baeza-Yates, editors, Information
Retrieval. Prentice Hall, Englewood Cliffs, NJ, 1992. BibTeX entry |
| [1506] |
Adwait Ratnaparkhi.
Learning to parse natural language with maximum entropy models.
Machine Learning, 34:151-176, 1999. BibTeX entry |
| [1507] |
Joel Ratsaby and Santosh S. Venkatesh.
Learning from a mixture of labeled and unlabeled examples with
parametric side information.
In Proceedings of the 8th Annual Conference on Computational
Learning Theory, pages 412-417, 1995. BibTeX entry |
| [1508] |
Lisa F. Rau, Ron Brandow, and Karl Mitze.
Domain-independent summarization of news.
In Summarizaing Text for Intelligent Communication, pages
71-75, Dagstuhl, Germany, 1994. BibTeX entry |
| [1509] |
S. Ray and M. Craven.
Representing sentence structure in hidden Markov models for
information extraction.
In Proceedings of the Seventeenth International Joint Conference
on Artificial Intelligence (IJCAI-2001), pages 1273-1279, Seattle, WA,
2001. BibTeX entry |
| [1510] |
Soumya Raychaudhuri, Jeffrey T. Chang, Patrick D. Sutphin, and Russ B. Altman.
Associating genes with gene ontology codes using a maximum entropy
analysis of biomedical literature.
Genome Research, 12:203-214, 2002. BibTeX entry |
| [1511] |
M. L. Raymer, W. F. Punch, E. D. Goodman, P. C. Sanschagrin, and L. A. Kuhn.
Simultaneous feature extraction and selection using a masking genetic
algorithm.
In 7th International Conference on Genetic Algorithms, pages
561-567, East Lansing, MI, July 19-23 1997. Morgan Kaufmann, CA. BibTeX entry |
| [1512] |
J. Herlocker, editor.
Proceedings of the SIGIR 2001 Workshop on Recommender Systems,
New Orleans, LA, 2001. BibTeX entry |
| [1513] |
Henry Kautz, editor.
Papers from the AAAI-98 Workshop on Recommender Systems,
Madison, WI, 1998. AAAI Press. BibTeX entry |
| [1514] |
D. R. Reddy.
Speech recognition by machine: A review.
Proceedings of the IEEE, 64(4):502-531, 1976. BibTeX entry |
| [1515] |
M. A. Redford and L. B. Cohen.
Developmental precursors to infants' understanding of agent and
patient.
Submitted paper, 1998. BibTeX entry |
| [1516] |
Larry H. Reeker.
The computational study of language acquisition.
In M. Yovits and M. Rubinoff, editors, Advances in Computers,
volume 15, pages 181-237. Academic Press, New York, 1976. BibTeX entry |
| [1517] |
James A. Reggia, Dana S. Nau, and Pearl Y. Wang.
Diagnostic expert systems based on a set covering model.
International Journal of Man-Machine Studies, 19:437-460,
1983. BibTeX entry |
| [1518] |
James A. Reggia, Dana S. Nau, and Pearl Y. Wang.
A formal model of diagnostic inference. I. problem formulation and
decomposition.
Information Sciences, 37:227-256, 1985. BibTeX entry |
| [1519] |
T Regier.
Learning spatial concepts using a partially-structured connectionist
architecture.
Technical Report TR-91-050, Berkeley, 1991. BibTeX entry |
| [1520] |
R. Reichman.
Plain-speaking: A theory and grammar of spontaneous
discourse.
PhD thesis, Harvard University, Cambridge, MA, 1981. BibTeX entry |
| [1521] |
R. G. Reilly and N. E. Sharkey, editors.
Connectionist Approaches to Natural Language Processing.
Lawrence Erlbaum and Associates, Hilldale, NJ, 1992. BibTeX entry |
| [1522] |
Marc R. Reinganum.
The anatomy of a stock market winner.
Financial Analysis, pages 16-28, 1988. BibTeX entry |
| [1523] |
R. E. Reinke and Ryszard S. Michalski.
Incremental learning of concept descriptions.
In J. E. Hayes, D. Michie, and J. Richards, editors, Machine
Intelligence (Vol. 11). Oxford University Press, Oxford, England, 1988. BibTeX entry |
| [1524] |
Raymond Reiter and Johan de Kleer.
Foundations of assumption-based truth maintenance systems.
In Proceedings of the Sixth National Conference on Artificial
Intelligence (AAAI-87), pages 183-188, 1987. BibTeX entry |
| [1525] |
Raymond Reiter.
A theory of diagnosis from first principles.
Artificial Intelligence, 32:57-95, 1987. BibTeX entry |
| [1526] |
Lawrence A. Birnbaum and Gregg C. Collins, editors.
Proceedings of the Eighth International Workshop on Machine
Learning: Part VI Learning Relations, Evanston, IL, June 1991. BibTeX entry |
| [1527] |
Larry A. Rendell, Howard H. Cho, and Raj Seshu.
Improving the design of similarity-based rule-learning systems.
International Journal of Expert Systems, 2:97-133, 1989. BibTeX entry |
| [1528] |
P. Resnick.
WordNet and distribution analysis: A class-based approach to
lexical discovery.
In Statistically-Based Natural-Language-Processing Techniques:
Papers from the 1992 AAAI Workshop. AAAI Press, 1992. BibTeX entry |
| [1529] |
Paul Resnick, Neophytos Iacovou, Mitesh Sushak, Peter Bergstrom, and John
Reidl.
GroupLens: An open architecture for collaborative filtering of
netnews.
In Proceedings of the 1994 Computer Supported Cooperative Work
Conference, New York, 1994. ACM. BibTeX entry |
| [1530] |
P. Resnick.
Using information content to evaluate semantic similarity in a
taxonomy.
In Proceedings of the Fourteenth International Joint Conference
on Artificial Intelligence (IJCAI-95), pages 448-453, 1995. BibTeX entry |
| [1531] |
Philip Resnik and Hal R. Varian.
Introduction (to the special section on recommender systems).
Communications of the Association for Computing Machinery,
40(3):56-59, 1997. BibTeX entry |
| [1532] |
Philip Resnik.
Disambiguating noun groupings with respect to WordNet senses.
In Proceedings of the Third Workshop on Very Large Corpora,
pages 54-68, Cambridge, MA, 1995. BibTeX entry |
| [1533] |
Elaine Rich.
Stereotypes and user modeling.
In N. Frederiksen, R. Glaser, A. Lesgold, and M. Shafto, editors,
Diagnostic Monitoring of Skill and Knowledge Acquisition, chapter 2.
Lawrence Erlbaum and Associates, 1990. BibTeX entry |
| [1534] |
Elaine Rich.
User modeling via stereotypes.
Cognitive Science, 3:329-354, 1979. BibTeX entry |
| [1535] |
E. Rich.
Users are individuals: Individualizing user models.
International Journal of Man-Machine Studies, 18:199-214,
1983. BibTeX entry |
| [1536] |
Charles Rich and Candace L. Sidner.
COLLAGEN: A collaboration manager for software interface agents.
User Modeling and User-Adapted Interaction, 8:315-350, 1998. BibTeX entry |
| [1537] |
Bradley L. Richards and Raymond J. Mooney.
Learning relations by pathfinding.
In Proceedings of the Tenth National Conference on Artificial
Intelligence (AAAI-92), pages 50-55, San Jose, CA, July 1992. BibTeX entry |
| [1538] |
Bradley L. Richards, Benjamin J. Kuipers, and Ina Kraan.
Automatic abduction of qualitative models.
In Proceedings of the Tenth National Conference on Artificial
Intelligence (AAAI-92), pages 723-728, San Jose, CA, July 1992. BibTeX entry |
| [1539] |
Bradely L. Richards and Raymond J. Mooney.
First-order theory revision.
In Proceedings of the Eighth International Workshop on Machine
Learning, pages 447-451, Evanston, IL, June 1991. BibTeX entry |
| [1540] |
B. L. Richards and R. J. Mooney.
Automated refinement of first-order Horn-clause domain theories.
Machine Learning, 19(2):95-131, 1995. BibTeX entry |
| [1541] |
Benjamin L. Richards.
An Operator-Based Approach To First-Order Theory Revision.
PhD thesis, Department of Computer Sciences, University of Texas,
Austin, TX, August 1992.
Also appears as Artificial Intelligence Laboratory Technical Report
AI 92-181. BibTeX entry |
| [1542] |
Jeff Rickel and Bruce W. Porter.
Automated modeling for answering prediction questions: Exploiting
interaction paths.
In Proceedings of the Sixth International Workshop on
Qualitative Reasoning about Physical Systems, pages 82-95, Edinburgh,
Scotland, 1992. Heriot-Watt University. BibTeX entry |
| [1543] |
Jeff Rickel.
Automated Modeling of Complex Systems to Answer Prediction
Questions.
PhD thesis, Department of Computer Sciences, University of Texas,
1995. BibTeX entry |
| [1544] |
Jeff Rickel.
Automated modeling for answering prediction questions: Exploiting
interaction paths.
Technical Report AI92-178, University of Texas at Austin, 1992. BibTeX entry |
| [1545] |
Henk C. van Riemsdijk and Edwin Williams.
Introduction to the Theory of Grammar.
MIT Press, Cambridge, Massachusetts and London, England, 1986. BibTeX entry |
| [1546] |
German Rigau, Horacio Rodríguez, and Eneko Agirre.
Building accurate semantic taxonomies from monolingual MRDs.
In Proceedings of the 36th Annual Meeting of the Association for
Computational Linguistics and COLING-98 (ACL/COLING-98), pages 1103-1109,
Montreal, CA, 1998. BibTeX entry |
| [1547] |
Ellen Riloff.
Automatically constructing a dictionary for information extraction
tasks.
In Proceedings of the Eleventh National Conference on Artificial
Intelligence (AAAI-93), pages 811-816, Washington, D.C., August 1993. BibTeX entry |
| [1548] |
Ellen Riloff.
Automatically generating extraction patterns from untagged text.
In Proceedings of the Thirteenth National Conference on
Artificial Intelligence (AAAI-96), pages 1044-1049, Portland, OR, 1996. BibTeX entry |
| [1549] |
Ellen Riloff and Rosie Jones.
Learning dictionaries for information extraction by multi-level
bootstrapping.
In Proceedings of the Sixteenth National Conference on
Artificial Intelligence (AAAI-99), pages 1044-1049, Orlando, FL, July 1999. BibTeX entry |
| [1550] |
Ellen Riloff.
An empirical study of automated dictionary construction for
information extraction in three domains.
Artificial Intelligence, 85:101-134, 1996. BibTeX entry |
| [1551] |
Ellen Riloff and Michael Thelen.
A rule-based question answering system for reading comprehension
tests.
In Proceedings of ANLP-NAACL Workshop on Reading Comprehension
Tests as Evaluation for Computer-Based Lanugage Understanding Systems, pages
13-19, Seattle, WA, 2000. BibTeX entry |
| [1552] |
Ellen Riloff.
Using learned extraction patterns for text classification.
In Stefan Wermter, Ellen Riloff, and Gabrille Scheler, editors,
Connectionist, Statistical, and Symbolic Approaches to Learning for Natural
Language Processing, pages 275-289. Springer, Berlin, 1996. BibTeX entry |
| [1553] |
Ellen Riloff and Jessica Shepherd.
A corpus-based approach for building semantic lexicons.
In Proceedings of the Second Conference on Empirical Methods in
Natural Language Processing (EMNLP-97), pages 117-124, Providence, RI,
1997. BibTeX entry |
| [1554] |
T. C. Rindflesch, L. Tanabe, J. N. Weinstein, and L. Hunter.
EDGAR: Extraction of drugs, genes, and relations from the
biomedical literature.
In Proceedings of the 5th Pacific Symposium on Biocomputing,
pages 515-524, 2000. BibTeX entry |
| [1555] |
Jorma Rissanen.
Modeling by shortest data description.
Automatica, 14:465-471, 1978. BibTeX entry |
| [1556] |
Jorma Rissanen.
A universal prior for integers and estimation by minimum description
length.
Annals of Statistics, 11(2):416-431, 1983. BibTeX entry |
| [1557] |
Eric Sven Ristad and Peter N. Yianilos.
Learning string edit distance.
In Proceedings of the Fourteenth International Conference on
Machine Learning (ICML-97), pages 287-295, San Francisco, CA, 1997. Morgan
Kaufmann. BibTeX entry |
| [1558] |
Eric Sven Ristad and Peter N. Yianilos.
Learning string edit distance.
IEEE Transactions on Pattern Analysis and Machine Intelligence,
20(5):522-532, 1998. BibTeX entry |
| [1559] |
Eric Sven Ristad and Peter N. Yianilos.
Learning string edit distance.
Technical Report CS-TR-532-96, Department of Computer Science,
Princeton University, 1997. BibTeX entry |
| [1560] |
Eric Sven Ristad and Peter N. Yianilos.
Finite growth models.
Technical Report TR-533-96, Princeton University, April 1997. BibTeX entry, Available here |
| [1561] |
Ronald L. Rivest.
Learning decision lists.
Machine Learning, 2:229-246, 1987. BibTeX entry |
| [1562] |
Ronald L. Rivest.
Learning decision lists.
Machine Learning, 2(3):229-246, 1987. BibTeX entry |
| [1563] |
J. A. Robinson.
A machine-oriented logic based on the resolution principle.
In J. Siekmann and G. Wrightson, editors, Automation of
Reasoning 1: Classical Papers on Computational Logic 1957-1966, pages
397-415. Springer, Berlin, Heidelberg, 1983. BibTeX entry |
| [1564] |
Anthony John Robinson.
Dynamic Error Propagation Networks.
PhD thesis, Cambridge University, Engineering Department, June 1989. BibTeX entry |
| [1565] |
J. Rocchio.
Relevance feedback in information retrieval.
In G. Salton, editor, The SMART Retrieval System: Experiments
in Automatic Document Processing, pages 313-323. Prentice Hall, 1971. BibTeX entry |
| [1566] |
Emmanuel Roche and Yves Schabes.
Deterministic part-of-speech tagging with finite-state transducers.
In E. Roche and Y. Schabes, editors, Finite-State Language
Processing. MIT Press, Cambridge, MA, 1997. BibTeX entry |
| [1567] |
B. Rosen.
Ensemble learning using decorrelated neural networks.
Connection Science, 8, 1996. BibTeX entry |
| [1568] |
Frank Rosenblatt.
Principles of Neurodynamics.
Spartan, New York, 1962. BibTeX entry |
| [1569] |
P. Rosenbloom and J. Laird.
Mapping explanation-based generalization onto Soar.
In Proceedings of the Fifth National Conference on Artificial
Intelligence (AAAI-86), pages 561-567, Philadelphia, PA, August 1986. BibTeX entry |
| [1570] |
Dan Roth and Antal van den Bosch, editors.
Proc. of the Sixth Conference on Natural Language Learning
(CoNLL-2002), Taipei, Taiwan, 2002. Association for Computational
Linguistics. BibTeX entry |
| [1571] |
C. Rouveirol.
Extensions of inversion of resolution applied to theory completion.
In Stephen Muggleton, editor, Inductive Logic Programming,
pages 63-86. Academic Press, New York, NY, 1992. BibTeX entry |
| [1572] |
Sam Roweis and Lawrence Saul.
Nonlinear dimensionality reduction by locally linear embedding.
Science, 290(5500):2323-2326, December 22 2000. BibTeX entry |
| [1573] |
Nicholas Roy and Andrew McCallum.
Toward optimal active learning through sampling estimation of error
reduction.
In Proc. 18th International Conf. on Machine Learning, pages
441-448. Morgan Kaufmann, San Francisco, CA, 2001. BibTeX entry, Available here |
| [1574] |
A. Rubin.
The role of hypothesis in medical diagnosis.
In Proceedings of the Fourth International Joint Conference on
Artificial intelligence (IJCAI-75), pages 856-862, 1975. BibTeX entry |
| [1575] |
David E. Rumelhart, Geoffrey E. Hinton, and Ronald J. Williams.
Learning internal representations by error propagation.
In David E. Rumelhart and James L. McClelland, editors, Parallel
Distributed Processing, Vol. I, pages 318-362. MIT Press, Cambridge, MA,
1986. BibTeX entry |
| [1576] |
David E. Rumelhart and James L. McClelland.
On learning the past tense of English verbs.
In David E. Rumelhart and James L. McClelland, editors, Parallel
Distributed Processing, Vol. II, pages 216-271. MIT Press, Cambridge, MA,
1986. BibTeX entry |
| [1577] |
David E. Rumelhart and James L. McClelland, editors.
Parallel Distributed Processing: Explorations in the
Microstructure of Cognition (Vols. 1 & 2).
MIT Press, Cambridge, MA, 1986. BibTeX entry |
| [1578] |
David E. Rumelhart, Geoffrey E. Hinton, and Ronald J. Williams.
Learning representations by back-propagating errors.
Nature, 323:533-536, 1986. BibTeX entry |
| [1579] |
Stefan Ruping.
Incremental learning with support vector machines.
Technical report, University of Dortmund, Germany, 2002. BibTeX entry |
| [1580] |
Enrique Ruspini and Michael Wolverton.
Graph-editing metrics for pattern matching.
Artificial Intelligence Center, SRI International, January 2002. BibTeX entry |
| [1581] |
Stuart Russell, John Binder, Daphne Koller, and Keiji Kanazawa.
Local learning in probabilistic networks with hidden variables.
In Proceedings of the Fourteenth International Joint Conference
on Artificial Intelligence (IJCAI-95), pages 1146-1152, Montreal, Canada,
August 1995. BibTeX entry |
| [1582] |
D. Russell.
Language Acquisition in a Unification-Based Grammar Processing
System Using a Real World Knowledge Base.
PhD thesis, University of Illinois, Urbana, IL, 1993. BibTeX entry |
| [1583] |
Maytal Saar-Tsechansky and Foster J. Provost.
Active learning for class probability estimation and ranking.
In Proceedings of the Seventeenth International Joint Conference
on Artificial Intelligence (IJCAI-2001), pages 911-920, 2001. BibTeX entry |
| [1584] |
Jenny R. Saffran, Richard N. Aslin, and Elissa L. Newport.
Statistical learning by 8-month-old infants.
Science, 274(5294):1926-1928, 1996. BibTeX entry |
| [1585] |
Mehran Sahami, Salim Yusufali, and Michelle Q. Baldonado.
SONIA: a service for organizing networked information autonomously.
In Proceedings of Third ACM Conference on Digital Libraries
(DL-1998), pages 200-209, Pittsburgh, US, 1998. BibTeX entry |
| [1586] |
Mehran Sahami, Susan Dumais, David Heckerman, and Eric Horvitz.
A Bayesian approach to filtering junk E-mail.
In Papers from the AAAI-98 Workshop on Text Categorization,
pages 55-62, Madison, WI, 1998. BibTeX entry |
| [1587] |
Sigal Sahar.
Interestingness via what is not interesting.
In Proceedings of the Fifth International Conference on
Knowledge Discovery and Data Mining (KDD-99), pages 332-336, August 1999. BibTeX entry |
| [1588] |
Wesley C. Salmon.
The Foundations of Scientific Inference.
University of Pittsburgh Press, 1967. BibTeX entry |
| [1589] |
G. Salton and M. J. McGill.
Introduction to Modern Information Retrieval.
McGraw Hill, New York, 1983. BibTeX entry |
| [1590] |
Gerard Salton.
Automatic Text Processing: The Transformation, Analysis and
Retrieval of Information by Computer.
Addison-Wesley, 1989. BibTeX entry |
| [1591] |
Gerard Salton, A. Wong, and Chung-Shu Yang.
A vector space model for automatic indexing.
Communications of the Association for Computing Machinery,
18(11):613-620, 1975. BibTeX entry |
| [1592] |
Gerard Salton and Chris Buckley.
Improving retrieval performance by relevance feedback.
Journal of the American Society for Information Science,
41:288-297, 1990. BibTeX entry |
| [1593] |
S. Salveter.
Inferring building blocks for knowledge representation.
In Wendy Lehnert and M. Ringle, editors, Strategies for Natural
Language Processing, pages 327-344. Lawrence Erlbaum and Associates,
Hillsdale, NJ, 1982. BibTeX entry |
| [1594] |
S. Salveter.
Inferring conceptual graphs.
Cognitive Science, 3(2):151-166, 1979. BibTeX entry |
| [1595] |
Claude Sammut and Ranan B. Banerji.
Learning concepts by asking questions.
In Ryszard S. Michalski, Jaime G. Carbonell, and Tom M. Mitchell,
editors, Machine Learning: An AI Approach, Vol. II, pages 167-191.
Morgan Kaufmann, 1986. BibTeX entry |
| [1596] |
C. Sammut, S. Hurst, D. Kedzier, and D. Michie.
Learning to fly.
In Proceedings of the Ninth International Conference on Machine
Learning (ICML-92), pages 385-393, Aberdeen, Scotland, 1992. BibTeX entry |
| [1597] |
Christer Samuelsson and Manny Rayner.
Quantitative evaluation of explanation-based learning as an
optimization tool for a large-scale natural language system.
In Proceedings of the Twelfth International Joint Conference on
Artificial Intelligence (IJCAI-91), pages 609-615, Sydney, Australia, 1991. BibTeX entry |
| [1598] |
David Sankoff and Joseph B. Kruskal, editors.
Time Warps, String Edits and Macromolecules: the Theory and
Practice of Sequence Comparison.
Addison-Wesley, 1983. BibTeX entry |
| [1599] |
D. Sankoff.
Branching processes with terminal types: Applications to context-free
grammars.
Journal of Applied Probability, 8:233-240, 1971. BibTeX entry |
| [1600] |
Sunita Sarawagi and Anuradha Bhamidipaty.
Interactive deduplication using active learning.
In Proceedings of the Eighth ACM SIGKDD International Conference
on Knowledge Discovery and Data Mining (KDD-2002), Edmonton, Alberta, 2002. BibTeX entry |
| [1601] |
Yutaka Sasaki.
Applying type-oriented ILP to IE rule generation.
In Papers from the Sixteenth National Conference on Artificial
Intelligence (AAAI-99) Workshop on Machine Learning for Information
Extraction, pages 43-47, Orlando, FL, 1999. AAAI Press. BibTeX entry |
| [1602] |
R. Sasik, T. Hwa, N. Iranar, and W. Loomis.
Percolation clustering: a novel algorithm applied to the clustering
of gene expression patterns in Dicytostelium development.
In Pacific Symposium of BioComputing, pages 335-347, 2001. BibTeX entry |
| [1603] |
Lawrence Saul and Sam Roweis.
Think globally, fit locally: unsupervised learning of low dimensional
manifolds.
Journal of Machine Learning Research, 4:119-155, 2003. BibTeX entry |
| [1604] |
E. Saund.
Unsupervised learning of mixtures of multiple causes in binary data.
In Advances in Neural Information Processing Systems 6, pages
27-34. Morgan Kaufmann, 1994. BibTeX entry |
| [1605] |
G. Schafer and K. Plunkett.
Rapid, early word learning and preferential looking.
In Biennial Meeting of the Society for Research in Child
Development, Washington, DC, April 1997. BibTeX entry |
| [1606] |
Cullen Schaffer.
A conservation law for generalization performance.
In Proceedings of the Eleventh International Conference on
Machine Learning (ICML-94), pages 259-265, San Francisco, CA, July 1994.
Morgan Kaufmann. BibTeX entry |
| [1607] |
Cullen Schaffer.
Selecting a classification method by cross-validation.
Machine Learning, 13(1):135-143, 1993. BibTeX entry |
| [1608] |
Cullen Schaffer.
Overfitting avoidance as bias.
Machine Learning, 10(2):153-178, 1993. BibTeX entry |
| [1609] |
Roger C. Schank.
Conceptual Information Processing.
North-Holland, Oxford, 1975. BibTeX entry |
| [1610] |
Roger C. Schank and Robert P. Abelson.
Scripts, Plans, Goals and Understanding: An Inquiry into Human
Knowledge Structures.
Lawrence Erlbaum and Associates, Hillsdale, NJ, 1977. BibTeX entry |
| [1611] |
Roger C. Schank and Christopher K. Riesbeck.
Inside Computer Understanding: Five Programs plus Miniatures.
Lawrence Erlbaum and Associates, Hillsdale, NJ, 1981. BibTeX entry |
| [1612] |
Robert E. Schapire.
Theoretical views of boosting and applications.
In Proceedings of the Tenth International Conference on
Algorithmic Learning Theory, pages 13-25, 1999. BibTeX entry |
| [1613] |
Robert E. Schapire, Yoav Freund, Peter Bartlett, and Wee Sun Lee.
Boosting the margin: A new explanation for the effectiveness of
voting methods.
The Annals of Statistics, 26(5):1651-1686, 1998. BibTeX entry |
| [1614] |
Robert E. Schapire and Yoram Singer.
Improved boosting algorithms using confidence-rated predictions.
In Gregory Piatetsky-Shapiro, Rakesh Agrawal, and Paul E. Stolorz,
editors, Proceedings of the 11th Annual Conference on Computational
Learning Theory, pages 80-91, Madison, WI, July 1998. ACM. BibTeX entry |
| [1615] |
Robert E. Schapire, Peter Stone, David McAllester, Michael L. Littman, and
Janos A. Csirik.
Modeling auction price uncertainty using boosting-based conditional
density estimation.
In Proceedings of 19th International Conference on Machine
Learning (ICML-2002), 2002. BibTeX entry |
| [1616] |
Robert E. Schapire and Yoram Singer.
Boostexter: A boosting-based system for text categorization.
Machine Learning, 39(2/3):135-168, 2000. BibTeX entry |
| [1617] |
Robert E. Schapire.
The strength of weak learnability.
Machine Learning, 5(2):197-227, 1990. BibTeX entry |
| [1618] |
Tobias Scheffer and Ulf Leser, editors.
Proceedings of the ECML/PKDD 2003 Workshop on Data Mining and
Text Mining for Bioinformatics, Dubrovnik, Croatia, September 2003. BibTeX entry |
| [1619] |
Jeffrey C. Schlimmer and Douglas Fisher.
A case study of incremental concept induction.
In Proceedings of the Fifth National Conference on Artificial
Intelligence (AAAI-86), pages 496-501, Philadelphia, PA, August 1986. BibTeX entry |
| [1620] |
Jeffrey C. Schlimmer and Richard H. Granger Jr.
Beyond incremental processing: Tracking concept drift.
In Proceedings of the Fifth National Conference on Artificial
Intelligence (AAAI-86), pages 502-507, Philadelphia, PA, August 1986. BibTeX entry |
| [1621] |
Jeffrey C. Schlimmer and Richard H. Granger Jr.
Incremental learning from noisy data.
Machine Learning, 1(3):317-334, 1986. BibTeX entry |
| [1622] |
Jeffrey C. Schlimmer.
Concept Acquisition Through Representational Adjustment.
PhD thesis, Department of Information and Computer Science,
University of California, Irvine, CA, 1987. BibTeX entry |
| [1623] |
Greg Schohn and David Cohn.
Less is more: Active learning with support vector machines.
In Proceedings of the Seventeenth International Conference on
Machine Learning (ICML-2000), pages 839-846. Morgan Kaufmann, San
Francisco, CA, 2000. BibTeX entry |
| [1624] |
H. Schütze.
Context space.
In Working Notes, AAAI Fall Symposium Series, pages 113-120.
AAAI-Press, 1992. BibTeX entry |
| [1625] |
H. Schütze.
Dimensions of meaning.
In Proccedings of Supercomputing '92, pages 787-796,
Minneapolis, MN, 1992. BibTeX entry |
| [1626] |
H. Schütze.
Information retrieval based on word senses.
In Proceedings of the Fourth Annual Symposium on Document
Analysis and Information Retrieval, pages 161-175, University of Nevada at
Las Vegas, 1995. BibTeX entry |
| [1627] |
Eddie Schwalb.
Compiling Bayesian networks into neural networks.
In Proceedings of the Tenth International Conference on Machine
Learning (ICML-93), pages 291-297, Amherst, MA, June 1993. BibTeX entry |
| [1628] |
Ariel S. Schwartz and Marti A. Hearst.
A simple algorithm for identifying abbreviation definitions in
biomedical text.
In Proceedings of the 8th Pacific Symposium on Biocomputing,
pages 451-462, Lihue, HI, January 2003. BibTeX entry |
| [1629] |
Matthias Seeger.
Learning with labeled and unlabeled data.
Technical report, Institute for ANC, Edinburgh, UK, 2000.
See http://www.dai.ed.ac.uk/~seeger/papers.html. BibTeX entry |
| [1630] |
E. Segal, H. Wang, and D. Koller.
Discovering molecular pathways from protein interaction and gene
expression data.
Bioinformatics, 19:i264-i272, July 2003. BibTeX entry |
| [1631] |
Alberto Maria Segre.
Machine Learning of Robot Assembly Plans.
Kluwer Academic Publishers, Hingham, MA, 1988. BibTeX entry |
| [1632] |
Alberto Maria Segre, editor.
Proceedings of the Sixth International Workshop on Machine
Learning: Section on Combining Empirical and Explanation-Based Learning,
Ithaca, NY, June 1989. BibTeX entry |
| [1633] |
Alberto Maria Segre, Charles Elkan, and Alexander Russell.
A critical look at experimental evaluations of EBL.
Machine Learning, 6(2):183-196, 1991. BibTeX entry |
| [1634] |
Terrance J. Sejnowski and Charles Rosenberg.
Parallel networks that learn to pronounce English text.
Complex Systems, 1:145-168, 1987. BibTeX entry |
| [1635] |
John A. Self.
Bypassing the intractable problem of student modeling.
In C. Frasson and G. Gauthier, editors, Intelligent tutoring
systems: at the crossroads of artificial intelligence and education,
chapter 5. Ablex Publishing Corp., 1990. BibTeX entry |
| [1636] |
Mallory Selfridge.
A computer model of child language learning.
Artificial Intelligence, 29(2), 1986. BibTeX entry |
| [1637] |
Mallory Selfridge.
A computer model of child language acquisition.
In Proceedings of the Seventh International Joint Conference on
Artificial Intelligence (IJCAI-81), pages 106-108, Vancouver, B.C., 1981. BibTeX entry |
| [1638] |
S. Selim and M. Ismail.
K-means-type algorithms: A generalized convergence theorem and
characterization of local optimality.
IEEE Transactions on Pattern Analysis and Machine Intelligence,
6:81-87, 1984. BibTeX entry |
| [1639] |
Bart Selman and Hector J. Levesque.
Abductive and default reasoning: A computational core.
In Proceedings of the Eighth National Conference on Artificial
Intelligence (AAAI-90), pages 343-348, Boston, MA, 1990. BibTeX entry |
| [1640] |
V. Sembugamoorthy.
A paradigmatic language acquisition system.
In Proceedings of the Seventh International Joint Conference on
Artificial Intelligence (IJCAI-81), pages 106-108, Vancouver, B.C., 1981. BibTeX entry |
| [1641] |
Rayid Ghani, Rosie Jones, and Chuck Rosenberg, editors.
ICML Workshop on the Continuum from Labeled to Unlabeled Data in
Machine Learning and Data Mining, Washington, DC, 2003. BibTeX entry |
| [1642] |
S. Seneff, E. Hurley, R. Lau, C. Pao, P. Schmid, and V. Zue.
Galaxy-II: A reference architecture for conversational system
development.
In Proceedings ICSLP 1996, Sydney, Australia, November 1996. BibTeX entry |
| [1643] |
H. Sebastian Seung, Manfred Opper, and Haim Sompolinsky.
Query by committee.
In Proceedings of the ACM Workshop on Computational Learning
Theory, Pittsburgh, PA, 1992. BibTeX entry |
| [1644] |
Kristie Seymore, Andrew McCallum, and Roni Rosenfeld.
Learning hidden Markov model structure for information extraction.
In Papers from the Sixteenth National Conference on Artificial
Intelligence (AAAI-99) Workshop on Machine Learning for Information
Extraction, pages 37-42, Orlando, FL, 1999. AAAI Press. BibTeX entry |
| [1645] |
Fei Sha and Fernando Pereira.
Shallow parsing with conditional random fields.
In Proceedings of Human Language Technology and the Meeting of
the North American Association for Computational Linguistics, pages
134-141, Edmonton, Canada, 2003. BibTeX entry |
| [1646] |
Ross D. Shachter, Stig K. Anderson, and Peter Szolovits.
Global conditioning for probabilistic inference in belief networks.
In Proceedings of the Tenth Conference on Uncertainty in
Artificial Intelligence (UAI-94), pages 514-522, 1994.
A recent paper that unifies (almost) all of the extant algorithms for
inference in belief networks. BibTeX entry |
| [1647] |
Glenn Shafer.
A Mathematical Theory of Evidence.
Princeton University Press, Princeton, NJ, 1976. BibTeX entry |
| [1648] |
Glenn Shafer and Judea Pearl, editors.
Readings in Uncertain Reasoning.
Morgan Kaufmann, San Mateo, CA, 1990. BibTeX entry |
| [1649] |
Ehud Y. Shapiro.
Algorithmic Program Debugging.
MIT Press, Cambridge, MA, 1983. BibTeX entry |
| [1650] |
R. Sharan and R. Shamir.
CLICK: a clustering algorithm with applications to gene expression
analysis.
In Proceedings of the 8th International Conference on
Intelligent Systems for Molecular Biology (ISMB-2000), volume 8, pages
307-316, 2000. BibTeX entry |
| [1651] |
Lokendra Shastri and Venkat Ajjanagadde.
From simple associations to systematic reasoning: A connectionist
representation of rules, variables and dynamic bindings using temporal
synchrony.
Behavioral and Brain Sciences, 16:417-494, 1993. BibTeX entry |
| [1652] |
Jude W. Shavlik and Tina Eliassi-Rad.
Intelligent agents for web-based tasks: An advice taking approach.
In Papers from the AAAI-98 Workshop on Text Categorization,
pages 63-70, Madison, WI, 1998. BibTeX entry |
| [1653] |
Jude W. Shavlik and Thomas G. Dietterich.
Inductive learning from preclassified examples: Introduction.
In Jude W. Shavlik and Thomas G. Dietterich, editors, Readings
in Machine Learning, pages 45-56. Morgan Kaufmann, San Mateo, CA, 1990. BibTeX entry |
| [1654] |
Jude W. Shavlik and Raymond J. Mooney.
Generalizing explanation structures.
In Gerald F. DeJong, editor, Investigating Explanation-Based
Learning, pages 60-127. Kluwer Academic Publishers, Norwell, MA, 1993. BibTeX entry |
| [1655] |
Jude W. Shavlik and Thomas G. Dietterich, editors.
Readings in Machine Learning.
Morgan Kaufmann, San Mateo,CA, 1990. BibTeX entry |
| [1656] |
Jude W. Shavlik and Geoffrey G. Towell.
Combining explanation-based and neural learning: An algorithm and
empirical results.
Connection Science, 1(3):325-339, 1989. BibTeX entry |
| [1657] |
J. Shavlik, S. Calcari, T. Eliassi-Rad, and J. Solock.
An instructable, adaptive interface for discovering and monitoring
information on the world-wide web.
In Proceedings of the 1999 International Conference on
Intelligent User Interfaces, pages 157-160, Redondo Beach, CA, 1999. BibTeX entry |
| [1658] |
Jude W. Shavlik and Geoffrey G. Towell.
Combining explanation-based learning and artificial neural networks.
In Proceedings of the Sixth International Workshop on Machine
Learning, pages 90-92, Ithaca, NY, June 1989. BibTeX entry |
| [1659] |
Jude W. Shavlik.
Generalizing number in explanation based learning.
Machine Learning, 5:39-70, 1990. BibTeX entry |
| [1660] |
Jude W. Shavlik, Raymond J. Mooney, and Geoffrey G. Towell.
Symbolic and neural learning algorithms: An experimental comparison.
Machine Learning, 6:111-143, 1991.
Reprinted in Readings in Knowledge Acquisition and Learning,
Bruce G. Buchanan and David C. Wilkins (eds.), Morgan Kaufman, San Mateo, CA,
1993. BibTeX entry |
| [1661] |
J. Shavlik, M. Shavlik, and M. Fahland.
Evaluating software sensors for actively profiling windows 2000
computer users.
In Proceedings of the Fourth International Symposium on Recent
Advances in Intrusion Detection, Davis, CA, 2001. BibTeX entry |
| [1662] |
G. Sheikholesami, S. Chatterjee, and A. Zhang.
Wavecluster: A muti-resolution clustering approach for very large
spatial databases.
In Proceedings of the International Conference on Very Large
Data Bases, pages 428-439, 1998. BibTeX entry |
| [1663] |
Solomon Eyal Shimony.
Explanation, irrelevance and statistical independence.
In Proceedings of the Ninth National Conference on Artificial
Intelligence (AAAI-91), pages 482-487, Anaheim, CA, July 1991. BibTeX entry |
| [1664] |
Edward H. Shortliffe and Bruce G. Buchanan.
A model of inexact reasoning in medicine.
Mathematical Biosciences, 23:351-379, 1975. BibTeX entry |
| [1665] |
T. R. Shultz, G. W. Fisher, C. C. Pratt, and S. Rulf.
Selection of causal rules.
Child Development, 57:143-152, 1986. BibTeX entry |
| [1666] |
Eric V. Siegel and Kathleen R. McKeown.
Emergent linguistic rules from inducing decision trees:
Disambiguating discourse clue words.
In Proceedings of the Twelfth National Conference on Artificial
Intelligence (AAAI-94), 1994. BibTeX entry |
| [1667] |
Andrew F. Siegel.
Statistics and data analysis: An Introduction, chapter 15,
pages 336-339.
John Wiley and Sons, 1988. BibTeX entry |
| [1668] |
Hava T. Siegelmann.
Neural programming language.
In Proceedings of the Twelfth National Conference on Artificial
Intelligence (AAAI-94), pages 877-882, 1994. BibTeX entry, Available here |
| [1669] |
Jocelyn Siestma and Robert J. F. Dow.
Creating artificial neural networks that generalize.
Neural Networks, 4:67-79, 1991. BibTeX entry |
| [1670] |
I. Soboroff, C. Nicholas, and Michael Pazzani, editors.
Papers from the SIGIR-99 Recommender Systems Workshop,
Berkeley, CA, 1999. ACM SIGIR. BibTeX entry |
| [1671] |
L. Siklossy.
Natural language learning by computer.
In H. A. Simon and L. Siklossy, editors, Representation and
meaning: Experiments with Information Processsing Systems. Prentice Hall,
Englewood Cliffs, NJ, 1972. BibTeX entry |
| [1672] |
A. Silberschatz and A. Tuzhilin.
What makes patterns interesting in knowledge discovery systems.
IEEE Transactions on Knowledge and Data Engineering,
8(6):970-974, 1996. BibTeX entry |
| [1673] |
B. Silver.
Precondition analysis: Learning control information.
In Ryszard S. Michalski, Jaime G. Carbonell, and Tom M. Mitchell,
editors, Machine Learning: An AI Approach, Vol. II, pages 647-670.
Morgan Kaufmann, San Mateo, CA, 1986. BibTeX entry |
| [1674] |
Glenn Silverstein and Michael J. Pazzani.
Relational clichés: Constraining constructive induction during
relational learning.
In Proceedings of the Eighth International Workshop on Machine
Learning, pages 203-207, Evanston, IL, June 1991. BibTeX entry |
| [1675] |
R. F. Simmons.
Answering English questions by computer: A survey.
Communications of the Association for Computing Machinery,
8:53-70, 1965. BibTeX entry |
| [1676] |
R. F. Simmons.
Natural language question-answering systems: 1969.
Communications of the Association for Computing Machinery,
13:15-30, 1970. BibTeX entry |
| [1677] |
R. F. Simmons and Y. Yu.
The acquisition and use of context dependent grammars for English.
Computational Linguistics, 18(4):391-418, 1992. BibTeX entry |
| [1678] |
J. Sinclair and R. Coulthard.
Towards an analysis of discourse: The English used by teachers
and pupils.
Oxford University Press, London, England, 1975. BibTeX entry |
| [1679] |
Janne Sinkkonen and Samuel Kaski.
Semisupervised clustering based on conditional distributions in an
auxiliary space.
Technical Report A60, Helsinki University of Technology, 2000. BibTeX entry |
| [1680] |
Jeffrey M. Siskind.
Lexical acquisition in the presence of noise and homonymy.
In Proceedings of the Twelfth National Conference on Artificial
Intelligence, pages 760-766, 1994. BibTeX entry |
| [1681] |
Jeffrey M. Siskind.
A computational study of cross-situational techniques for learning
word-to-meaning mappings.
Cognition, 61(1):39-91, October 1996. BibTeX entry |
| [1682] |
Jeffrey M. Siskind.
Naive Physics, Event Perception, Lexical Semantics and Language
Acquisition.
PhD thesis, Department of Electrical Engineering and Computer
Science, Massachusetts Institute of Technology, Cambridge, MA, December 1992. BibTeX entry |
| [1683] |
David B. Skalak.
Prototype and feature selection by sampling and random mutation hill
climbing algorithms.
In Proceedings of the Eleventh International Conference on
Machine Learning (ICML-94), pages 293-301, 1994. BibTeX entry |
| [1684] |
B. F. Skinner.
Verbal Behavior.
Appleton-Century-Crofts, New York, NY, 1957. BibTeX entry |
| [1685] |
Suk Wah Kwok and Chris Carter.
Multiple decision trees.
Uncertainty in Artificial Intelligence, 4:327-335, 1990. BibTeX entry |
| [1686] |
Sean Slattery and Mark Craven.
Combining statistical and relational methods for learning in
hypertext domains.
In D. Page, editor, Proceedings of the 8th International
Workshop on Inductive Logic Programming (ILP-98), pages 38-52. Springer,
Berlin, 1998. BibTeX entry |
| [1687] |
Derek H. Sleeman and M. J. Smith.
Modelling students' problem solving.
Artificial Intelligence, 16:171-187, 1981. BibTeX entry |
| [1688] |
Derek H. Sleeman.
Some challenges for intelligent tutoring systems.
In Proceedings of the Tenth International Joint Conference on
Artificial Intelligence (IJCAI-87), pages 1166-1168, Milan, August 1987. BibTeX entry |
| [1689] |
Derek H. Sleeman, Haym Hirsh, Ian Ellery, and In-Yung Kim.
Extending domain theories: two case studies in student modeling.
Machine Learning, 5:11-37, 1990. BibTeX entry |
| [1690] |
Jonathan Slocum, editor.
Machine Translation Systems.
Cambridge University Press, Cambridge, England, 1988. BibTeX entry |
| [1691] |
Frank Smadja.
From n-grams to collocations: An evaluation of Xtract.
In Proceedings of the 29th Annual Meeting of the Association for
Computational Linguistics (ACL-91), 1991. BibTeX entry |
| [1692] |
Frank Smadja, Kathleen R. McKeown, and Vasileios Hatzivassiloglou.
Translating collocations for bilingual lexicons: A statistical
approach.
Computational Linguistics, 22(1):1-38, 1996. BibTeX entry |
| [1693] |
Ronnie W. Smith and D. Richard Hipp.
Spoken natural language dialog systems: a practical approach.
Oxford University Press, New York, NY, 1994. BibTeX entry |
| [1694] |
Edward E. Smith, Christopher Langston, and Richard E. Nisbett.
The case for rules in reasoning.
Cognitive Science, 16:1-40, 1992. BibTeX entry |
| [1695] |
T. F. Smith and M. S. Waterman.
Identification of common molecular subsequences.
Journal of Molecular Biology, 147:195-197, 1981. BibTeX entry |
| [1696] |
Paul Smolensky.
Tensor product variable binding and the representation of symbolic
structures in connectionist systems.
Artificial Intelligence, 46:159-216, 1990. BibTeX entry |
| [1697] |
Padhraic Smyth, Usama Fayyad, Michael Burl, and Pietro Perona.
Inferring ground truth from subjective labelling of Venus images.
In Advances in Neural Information Processing Systems 6, 1994. BibTeX entry |
| [1698] |
Stephen Soderland and Wendy Lehnert.
Corpus-driven knowledge acquisition for discourse analysis.
In Proceedings of the Twelfth National Conference on Artificial
Intelligence (AAAI-94), Seattle, WA, August 1994. BibTeX entry |
| [1699] |
Stephen Soderland, David Fisher, Jonathan Aseltine, and Wendy Lehnert.
Issues in inductive learning of domain-specific text extraction
rules.
In Stefan Wermter, Ellen Riloff, and Gabriele Scheller, editors,
Connectionist, Statistical, and Symbolic Approaches to Learning for Natural
Language Processing, pages 290-301. Springer, Berlin, 1996. BibTeX entry |
| [1700] |
Stephen Soderland, David Fisher, Jonathan Aseltine, and Wendy Lehnert.
CRYSTAL: Inducing a conceptual dictionary.
In Proceedings of the Fourteenth International Joint Conference
on Artificial Intelligence (IJCAI-95), pages 1314-1319, Montreal, Canada,
August 1995. BibTeX entry |
| [1701] |
Stephen Soderland and Wendy Lehnert.
Wrap-Up: A trainable discourse module for information extraction.
Journal of Artificial Intelligence Research, 2:131-158, 1994. BibTeX entry |
| [1702] |
Stephen Soderland.
Learning to extract text-based information from the World Wide
Web.
In Proceedings of the Third International Conference on
Knowledge Discovery and Data Mining (KDD-97), pages 251-254, Newport Beach,
CA, 1997. BibTeX entry |
| [1703] |
Stephen Soderland.
Learning information extraction rules for semi-structured and free
text.
Machine Learning, 34:233-272, 1999. BibTeX entry |
| [1704] |
Ulf Soderman and Jan-Erik Stromberg.
Combining qualitative and quantitative knowledge to generate models
of physical systems.
In Proceedings of the Twelfth International Joint Conference on
Artificial Intelligence (IJCAI-91), pages 1158-1163, 1991. BibTeX entry |
| [1705] |
Ray J. Solomonoff.
A formal theory of inductive inference.
Information and Control, 7:376-388, 1964. BibTeX entry |
| [1706] |
Ray J. Solomonoff.
A new method for discovering the grammars of phrase structure
languages.
In Proceedings of the International Conference on Information
Processing, 1959. BibTeX entry |
| [1707] |
Harold S. Somers.
Current research in machine translation.
Machine Translation, 7(4):231-246, 1993. BibTeX entry |
| [1708] |
Kent A. Spackman.
Learning categorical decision criteria in biomedical domains.
In Proceedings of the Fifth International Conference on Machine
Learning (ICML-88), pages 36-46, Ann Arbor, MI, June 1988. BibTeX entry |
| [1709] |
K. Sparck Jones and P. Willett, editors.
Readings in Information Retrieval.
Morgan Kaufmann, San Francisco, CA, 1997. BibTeX entry |
| [1710] |
Malcolm K. Sparrow.
Network vulnerabilities and strategic intelligence in law
enforcement.
International Journal of Intelligence and Counterintelligence,
5(3):255-274, 1991. BibTeX entry |
| [1711] |
Malcolm K. Sparrow.
The application of network analysis to criminal intelligence: An
assessment of the prospects.
Social Networks, 13:251-274, 1991. BibTeX entry |
| [1712] |
E. S. Spelke.
Physical knowledge in infancy: Reflections on piaget's theory.
In S. Carey and R. Gelman, editors, The epigenesis of mind:
Essays on biology and cognition, pages 133-169. Erlbaum, Hillsdale, NJ,
1991. BibTeX entry |
| [1713] |
David J. Spiegelhalter and Steffen L. Lauritzen.
Sequential updating of conditional probabilities on directed
graphical structures.
Networks, 20:579-605, 1990. BibTeX entry |
| [1714] |
Rohini Srihari and Wei Li.
Information extraction supported question answering.
In Proceedings of the Eighth Text REtrieval Conference(TREC-8),
Gaithersburg, MD, November 1999. NIST Special Publication. BibTeX entry |
| [1715] |
Ramakrishnan Srikant and Rakesh Agrawal.
Mining generalized association rules.
In Proceedings of the 21st International Conference on Very
Large Databases (VLDB-95), pages 407-419, Zurich, Switzerland, September
1995. BibTeX entry |
| [1716] |
S. Srinivas and J. Breese.
IDEAL: Influence diagram evaluation and analysis in Lisp:
Documentation and users' guide.
Technical Report No. 23, Rockwell International Science Center, Palo
Alto: Rockwell, 1993. BibTeX entry |
| [1717] |
A. Srinivasan.
The Aleph manual, 2001. BibTeX entry |
| [1718] |
Ashwin Srinivasan, Stephen Muggleton, Michael J. E. Sternberg, and Ross D.
King.
Theories for mutagenicity: A study in first-order and feature-based
induction.
Artificial Intelligence, 85(1-2):277-299, 1996. BibTeX entry |
| [1719] |
A. Srinivasan.
A study of two sampling methods for analysing large datasets with
ILP.
Data Mining and Knowledge Discovery, 3:95-123, 1999. BibTeX entry |
| [1720] |
Irene Stahl, Brigit Tausend, and Ruediger Wirth.
Two methods for improving inductive logic programming systems.
In Machine Learning: ECML-93, pages 41-55, Vienna, 1993. BibTeX entry |
| [1721] |
Craig Stanfill and David L. Waltz.
Toward memory-based reasoning.
Communications of the Association for Computing Machinery,
29:1213-1228, 1986. BibTeX entry |
| [1722] |
Chen Stanley and Joshua Goodman.
An empirical study of smoothing techniques for language modeling.
In Proceedings of the 34th Annual Meeting of the Association for
Computational Linguistics (ACL-96), 1996. BibTeX entry |
| [1723] |
Amanda Stent, John Dowding, Jean Mark Gawron, Elizabeth Owen Bratt, and Robert
Moore.
The CommandTalk spoken dialogue system.
In Proceedings of the 37th Annual Meeting of the Association for
Computational Linguistics (ACL-99), College Park, MD, 1999. BibTeX entry |
| [1724] |
R. E. Stepp.
Machine learning from structured objects.
In Proceedings of the Fourth International Workshop on Machine
Learning, pages 353-363, Irvine, CA, June 1987. BibTeX entry |
| [1725] |
Mark Stevenson and Fabio Ciravegna.
Information extraction as a Semantic Web technology:
Requirements and promises.
In Fabio Ciravegna and Nicholas Kushmerick, editors, Papers from
the ECML/PKDD-2003 Workshop on Adaptive Text Extraction and Mining,
Cavtat-Dubrovnik, Croatia, September 2003. BibTeX entry |
| [1726] |
Mark E. Stickel.
A Prolog technology theorem prover: Implementation by an extended
Prolog compiler.
Journal of Automated Reasoning, 4:353-380, 1988. BibTeX entry |
| [1727] |
M. E. Stickel.
A Prolog-like inference system for computing minimum-cost abductive
explanations in natural-language interpretation.
Technical Report Technical Note 451, SRI International, Menlo Park,
CA, September 1988. BibTeX entry |
| [1728] |
Mark E. Stickel.
Upside-down meta-interpretation of the model elimination
theorem-proving procedure for deduction and abduction.
Technical Report TR-664, Institute for New Generation Computer
Technology, Tokyo, Japan, May 1991. BibTeX entry |
| [1729] |
Mark F. St. John and James L. McClelland.
Learning and applying contextual constraints in sentence
comprehension.
Artificial Intelligence, 46:217-257, 1990. BibTeX entry |
| [1730] |
Andreas Stolcke.
Linguistic knowledge and empirical methods in speech recognition.
AI Magazine, 18(4):25-31, 1997. BibTeX entry |
| [1731] |
A. Stolke.
Learning feature-based semantics with simple recurrent networks.
Technical Report TR-90-015, International Computer Science Institute,
Berkely, CA, 1990. BibTeX entry |
| [1732] |
Alexander Strehl, Joydeep Ghosh, and Raymond Mooney.
Impact of similarity measures on web-page clustering.
In Workshop on Artificial Intelligence for Web Search (AAAI
2000), pages 58-64, July 2000. BibTeX entry |
| [1733] |
A. Strehl and J. Ghosh.
A scalable approach to balanced, high-dimensional clustering of
market-baskets.
In Proceedings of the Seventh International Conference on High
Performance Computing (HiPC 2000), 2000. BibTeX entry |
| [1734] |
Alexander Strehl and Joydeep Ghosh.
Cluster ensembles - a knowledge reuse framework for combining
partitionings.
Journal of Machine Learning Research, 3:583-617, 2002. BibTeX entry |
| [1735] |
Andrew Y. Ng and Michael I. Jordan.
On discriminative vs. generative classifiers: A comparison of
logistic regression and naive Bayes.
In Proceedings of Sixteenth Conference on Neural Information
Processing Systems (NIPS), pages 605-610, 2002. BibTeX entry |
| [1736] |
Alexander Strehl.
Relationship-based clustering and cluster ensembles for
high-dimensional data mining.
PhD thesis, The University of Texas at Austin, 2002. BibTeX entry |
| [1737] |
Peter Struss and Oskar Dressler.
Physical negation - integrating fault models into the general
diagnostic engine.
In Proceedings of the Eleventh International Joint Conference on
Artificial Intelligence (IJCAI-89), pages 1318-1323, Detroit, MI, 1989. BibTeX entry |
| [1738] |
Devika Subramanian and Ronen Feldman.
The utility of EBL in recursive domains.
In Proceedings of the Eighth National Conference on Artificial
Intelligence (AAAI-90), pages 942-949, Boston, MA, July 1990. BibTeX entry |
| [1739] |
Siddarth Subramanian and Raymond J. Mooney.
Qualitative multiple-fault diagnosis of continuous dynamic systems
using behavioral modes.
In Proceedings of the Thirteenth National Conference on
Artificial Intelligence (AAAI-96), pages 965-970, Portland, OR, August
1996. BibTeX entry |
| [1740] |
Siddarth Subramanian and Raymond J. Mooney.
Multiple-fault diagnosis using general qualitative models with fault
modes.
In Fifth International Workshop on Principles of Diagnosis,
pages 321-325, New Paltz, NY, 1994. BibTeX entry |
| [1741] |
Siddarth Subramanian and Raymond J. Mooney.
Multiple-fault diagnosis using qualitative models and fault modes.
In IJCAI-95 Workshop on Engineering Problems in Qualitative
Reasoning, Montreal, Quebec, Canada, August 1995. BibTeX entry |
| [1742] |
Siddarth Subramanian and Raymond J. Mooney.
Combining abduction and theory revision.
In Proceedings of the First International Workshop on
Multistrategy Learning, pages 207-214, Harper's Ferry, W.Va., November
1991. BibTeX entry |
| [1743] |
Siddarth Subramanian.
Qualitative Multiple-Fault Diagnosis of Continuous Dynamic
Systems Using Behavioral Modes.
PhD thesis, Department of Computer Sciences, University of Texas,
Austin, TX, August 1995.
Also appears as Artificial Intelligence Laboratory Technical Report
AI 95-239. BibTeX entry |
| [1744] |
Siddarth Subramanian.
Belief revision in the context of abductive explanation.
Technical Report AI92-179, Artificial Intelligence Laboratory,
University of Texas, Austin, TX, December 1992. BibTeX entry |
| [1745] |
Steven C. Suddarth and Alistair D. C. Holden.
Symbolic-neural systems and the use of hints for developing complex
systems.
International Journal of Man-Machine Studies, 35(3):291-311,
1991. BibTeX entry, Available here |
| [1746] |
Dan Sullivan.
The need for text mining in business intelligence, December 2000.
DM Review. BibTeX entry |
| [1747] |
Ron Sun.
On variable binding in connectionist networks.
Connection Science, 4:93-124, 1992. BibTeX entry |
| [1748] |
P. Suppes, L. Liang, and M. Böttner.
Complexity issues in robotic machine learning of natural language.
In L. Lam and V. Naroditsky, editors, Modeling Complex
Phenomena, Proceedings of the 3rd Woodward Conference, pages 102-127.
Springer Verlag, 1991. BibTeX entry |
| [1749] |
Patrick Suppes.
Probabilistic grammars for natural languages.
Synthese, 22:95-116, 1970. BibTeX entry |
| [1750] |
M. Sussna.
Word sense disambiguation for free-text indexing using a massive
semantic network.
In Proceedings of 2nd International Conference on Information
and Knowledge (CIKM-93), pages 67-74, 1993. BibTeX entry |
| [1751] |
Don R. Swanson and Neil R. Smalheiser.
An interactive system for finding complementary literatures: A
stimulus to scientific discovery.
Artificial Intelligence, 91:183-203, 1997. BibTeX entry |
| [1752] |
William. Swartout, Cecile Paris, and Johanna Moore.
Explanations in knowledge systems: Design for explainable expert
systems.
IEEE Expert: Intelligent Systems and Their Applications,
6(3):58-64, 1991. BibTeX entry |
| [1753] |
William R. Swartout.
Explaining and justifying in expert consulting programs.
In Proceedings of the Seventh International Joint Conference on
Artificial Intelligence (IJCAI-81), pages 203-208, Vancouver, BC, 1981. BibTeX entry |
| [1754] |
John A. Swets.
Effectiveness of information retrieval methods.
American Documentation, pages 72-89, 1969. BibTeX entry |
| [1755] |
M. V. Swisher.
The role of parents in developing visual turn-taking in their young
deaf children.
American Annals of the Deaf, 137:92-100, 1992. BibTeX entry |
| [1756] |
Nadeem Ahmed Syed, Huan Liu, and Kah Kay Sung.
Handling concept drifts in incremental learning with support vector
machines.
In Knowledge Discovery and Data Mining, pages 317-321, 1999. BibTeX entry, Available here |
| [1757] |
Prasad Tadepalli.
Lazy explanation-based learning: A solution to the intractable
theory problem.
In Proceedings of the Eleventh International Joint Conference on
Artificial Intelligence (IJCAI-89), pages 694-700, Detroit, MI, August
1989. BibTeX entry |
| [1758] |
Prasad Tadepalli, editor.
Proceedings of the ML92 Workshop on Knowledge Compilation and
Speedup Learning, Aberdeen, Scotland, July 1992. BibTeX entry |
| [1759] |
Ming Tan and Jeffery C. Schlimmer.
Two case studies in cost-sensitive concept acquisition.
In Proceedings of the Eighth National Conference on Artificial
Intelligence (AAAI-90), pages 854-860, Boston, MA, July 1990. BibTeX entry |
| [1760] |
Ah-Hwee Tan.
Text mining: The state of the art and the challenges.
In Proceedings of PAKDD-1999 Workshop on Knowledge Discovery
from Advanced Databases, pages 65-70, Beijing, China, April 1999. BibTeX entry |
| [1761] |
Lorraine Tanabe and W. John Wilbur.
Tagging gene and protein names in biomedical text.
Bioinformatics, 18(8):1124-1132, 2002. BibTeX entry |
| [1762] |
Michael K. Tanenhaus and et al.
Eye movements and spoken language comprehension.
In Proceedings of the 34th Annual Meeting of the Association for
Computational Linguistics (ACL-96), pages 48-54, 1996. BibTeX entry |
| [1763] |
L. R. Tang and R. J. Mooney.
Using multiple clause constructors in inductive logic programming for
semantic parsing.
In Proceedings of the 12th European Conference on Machine
Learning, pages 466-477, Freiburg, Germany, 2001. BibTeX entry |
| [1764] |
Lappoon R. Tang and Raymond J. Mooney.
Automated construction of database interfaces: Integrating
statistical and relational learning for semantic parsing.
In Proceedings of the Joint SIGDAT Conference on Empirical
Methods in Natural Language Processing and Very Large
Corpora(EMNLP/VLC-2000), pages 133-141, Hong Kong, October 2000. BibTeX entry |
| [1765] |
Lappoon R. Tang, Raymond J. Mooney, and Prem Melville.
Scaling up ILP to large examples: Results on link discovery for
counter-terrorism.
In KDD-03 Workshop on Multi-Relational Data Mining, 2003. BibTeX entry |
| [1766] |
Lappoon R. Tang.
Integrating Top-down and Bottom-up Approaches in Inductive Logic
Programming: Applications in Natural Language Processing and Relational Data
Mining.
PhD thesis, Department of Computer Sciences, University of Texas,
Austin, TX, August 2003. BibTeX entry |
| [1767] |
Somkiat Tangkitvanich and Masamichi Shimura.
Learning from an approximate theory and noisy examples.
In Proceedings of the Eleventh National Conference on Artificial
Intelligence (AAAI-93), pages 466-471, Washington, D.C., July 1993. BibTeX entry |
| [1768] |
Somkiat Tangkitvanich and Masamichi Shimura.
Refining a relational theory with multiple faults in the concept and
subconcepts.
In Proceedings of the Ninth International Conference on Machine
Learning (ICML-92), pages 436-444, Aberdeen, Scotland, July 1992. BibTeX entry |
| [1769] |
Benjamin Taskar, Eran Segal, and Daphne Koller.
Probabilistic classification and clustering in relational data.
In Proceedings of the Seventeenth International Joint Conference
on Artificial Intelligence (IJCAI-2001), pages 870-878, Seattle, US, 2001. BibTeX entry |
| [1770] |
B. Taskar, P. Abbeel, and D. Koller.
Discriminative probabilistic models for relational data.
In Proceedings of 18th Conference on Uncertainty in Artificial
Intelligence (UAI-02), 2002. BibTeX entry |
| [1771] |
Gheorghe D. Tecuci and Ryszard S. Michalski.
A method for multistrategy task-adaptive learning based on plausible
justifications.
In Proceedings of the Eighth International Workshop on Machine
Learning, pages 549-553, Evanston, IL, June 1991. BibTeX entry |
| [1772] |
Sheila Tejada, Craig A. Knoblock, and Steven Minton.
Learning object identification rules for information integration.
Information Systems Journal, 26(8):635-656, 2001. BibTeX entry |
| [1773] |
Sheila Tejada, Craig A. Knoblock, and Steven Minton.
Learning domain-independent string transformation weights for high
accuracy object identification.
In Proceedings of the Eighth ACM SIGKDD International Conference
on Knowledge Discovery and Data Mining (KDD-2002), Edmonton, Alberta, 2002. BibTeX entry |
| [1774] |
R. D. Tennyson and O. Park.
The teaching of concepts: A review of instructional design research
literature.
Review of Educational Research, 50(1):55-70, 1980. BibTeX entry |
| [1775] |
Mehran Sahami, editor.
Papers from the AAAI-98 Workshop on Text Categorization,
Madison, WI, 1998. AAAI Press. BibTeX entry |
| [1776] |
Paul Thagard.
Explanatory coherence.
Behavioral and Brain Sciences, 12(3):435-467, September 1989. BibTeX entry |
| [1777] |
Paul Thagard.
The dinosaur debate: Explanatory coherence and the problem of
competing explanations.
In J. Pollock and R. Cummins, editors, Philosophy and AI: Essays
at the Interface. MIT Press/Bradford Books, Cambridge, MA, 1992. BibTeX entry |
| [1778] |
Paul Thagard.
Explanatory coherence.
CSL Report 16, Cognitive Science Laboratory, Princeton University,
March 1988. BibTeX entry |
| [1779] |
Bo Thiesson.
Accelerated quantification of Bayesian networks with incomplete
data.
In U. M. Fayyad and R. Uthurusamy, editors, Proceedings of the
First International Conference on Knowledge Discovery and Data Mining
(KDD-95), pages 306-11. AAAI Press, 1995. BibTeX entry |
| [1780] |
J. Thomas, D. Milward, C. Ouzounis, S Pulman, and M. Carol.
Automatic extraction of protein interactions from scientific
abstracts.
In Proceedings of the 5th Pacific Symposium on Biocomputing,
pages 541-553, 2000. BibTeX entry |
| [1781] |
Cynthia Thompson and Mehmet Goker.
Learning to suggest: The adaptive place advisor.
In Proceedings of the 2000 AAAI Spring Symposium on Adaptive
User Interfaces, Menlo Park, CA, 2000. BibTeX entry |
| [1782] |
Cynthia A. Thompson and Raymond J. Mooney.
Inductive learning for abductive diagnosis.
In Proceedings of the Twelfth National Conference on Artificial
Intelligence (AAAI-94), pages 664-669, Seattle, WA, August 1994. BibTeX entry |
| [1783] |
Cynthia A. Thompson and Raymond J. Mooney.
Automatic construction of semantic lexicons for learning natural
language interfaces.
In Proceedings of the Sixteenth National Conference on
Artificial Intelligence (AAAI-99), pages 487-493, Orlando, FL, July 1999. BibTeX entry |
| [1784] |
Cynthia A. Thompson.
Acquisition of a lexicon from semantic representations of sentences.
In Proceedings of the 33rd Annual Meeting of the Association for
Computational Linguistics (ACL-95), pages 335-337, Cambridge, MA, 1995. BibTeX entry |
| [1785] |
Cynthia A. Thompson and Mary Elaine Califf.
Improving learning in two natural language tasks: Choosing examples
intelligently.
In This volume. Springer-Verlag, 2000. BibTeX entry |
| [1786] |
Kevin Thompson and Pat Langley.
Concept formation in structured domains.
In Douglas Fisher, Michael Pazzani, and Pat Langley, editors,
Concept Formation: Knowledge and Experience in Unsupervised Learning, pages
127-161. Morgan Kaufmann, San Mateo, CA, 1991. BibTeX entry |
| [1787] |
Cynthia A. Thompson, Joseph Smarr, Huy Nguyen, and Christopher D. Manning.
Finding educational resources on the Web: Eexploiting automatic
extraction of metadata.
In Fabio Ciravegna and Nicholas Kushmerick, editors, Papers from
the 14th European Conference on Machine Learning(ECML-2003) and the 7th
European Conference on Principles and Practice of Knowledge Discovery in
Databases(PKDD-2003) Workshop on Adaptive Text Extraction and Mining,
Cavtat-Dubrovnik, Croatia, September 2003. BibTeX entry |
| [1788] |
Cynthia A. Thompson and Raymond J. Mooney.
Acquiring word-meaning mappings for natural language interfaces.
Journal of Artificial Intelligence Research, 18:1-44, 2003. BibTeX entry |
| [1789] |
Kevin Thompson, Pat Langley, and Wayne Iba.
Using background knowledge in concept formation.
In Proceedings of the Eighth International Workshop on Machine
Learning, pages 554-558, Evanston, IL, June 1991. BibTeX entry |
| [1790] |
Cynthia A. Thompson, Mary Elaine Califf, and Raymond J. Mooney.
Active learning for natural language parsing and information
extraction.
In Proceedings of the Sixteenth International Conference on
Machine Learning (ICML-99), pages 406-414, Bled, Slovenia, June 1999. BibTeX entry |
| [1791] |
Cynthia A. Thompson and Raymond J. Mooney.
Semantic lexicon acquisition for learning natural language
interfaces.
Submitted paper. Available at
http://www.cs.utexas.edu/ml/nl.html, 1998. BibTeX entry |
| [1792] |
Cynthia A. Thompson.
Inductive learning for abductive diagnosis.
Masters Thesis, Department of Computer Sciences, University of Texas,
Austin, TX, August 1993. BibTeX entry |
| [1793] |
Cynthia A. Thompson.
Semantic Lexicon Acquisition for Learning Natural Language
Interfaces.
PhD thesis, Department of Computer Sciences, University of Texas,
Austin, TX, December 1998.
Also appears as Artificial Intelligence Laboratory Technical Report
AI 99-278 (see http://www.cs.utexas.edu/users/ai-lab). BibTeX entry |
| [1794] |
Cynthia A. Thompson and Raymond J. Mooney.
Lexical acquisition: A novel machine learning problem.
Submitted to ICML'96, 1996. BibTeX entry |
| [1795] |
Cynthia A. Thompson and Raymond J. Mooney.
Semantic lexicon acquisition for learning parsers.
Submitted for review, 1997. BibTeX entry |
| [1796] |
Cynthia A. Thompson and Raymond J. Mooney.
Semantic lexicon acquisition for learning natural language
interfaces.
submitted for review, 1998. BibTeX entry |
| [1797] |
Cynthia A. Thompson and Raymond J. Mooney.
Semantic lexicon acquisition for learning natural language
interfaces.
In Proceedings of the Sixth Workshop on Very Large Corpora,
pages 57-65, Montreal, CA, 1998. BibTeX entry |
| [1798] |
Sebastian Thrun and Joseph O'Sullivan.
Clustering learning tasks and the selective cross-task transfer of
knowledge.
In Sebastian Thrun and Lorien Pratt, editors, Learning to
Learn, pages 235-257. Kluwer Academic Publishers, 1998. BibTeX entry |
| [1799] |
S. Thrun and L. Pratt.
Learning to learn: Itroduction and overview.
In Sebastian Thrun and Lorien Pratt, editors, Learning to
Learn. Kluwer Academic Publishers, Boston, 1998. BibTeX entry |
| [1800] |
Sebastian Thrun and Lorien Pratt, editors.
Learning to Learn.
Kluwer Academic Publishers, Boston, 1998. BibTeX entry |
| [1801] |
Sebastian Thrun and Tom M. Mitchell.
Integrating inductive neural network learning and explanation-based
learning.
In Proceedings of the Thirteenth International Joint Conference
on Artificial Intelligence (IJCAI-93), pages 930-936, 1993. BibTeX entry, Available here |
| [1802] |
N. Tishby and A. Gorin.
Algebraic learning of statistical associations for language
acquisition.
Computer Speech and Language, 8:51-78, 1994. BibTeX entry |
| [1803] |
Erik F. Tjong Kim Sang.
Text chunking by system combination.
In Proceedings of CoNLL-2000 and LLL-2000, pages
151-153, Lisbon, Portugal, 2000. BibTeX entry |
| [1804] |
Erik Tjong Kim Sang.
Memory-based shallow parsing.
Journal of Machine Learning Research, 2:559-594, 2002. BibTeX entry |
| [1805] |
H. Toivonen, M. Klemettinen, P. Ronkainen, K. Hatonen, and H. Mannila.
Pruning and grouping discovered association rules.
In MLNET Workshop on Statistics, Machine Learning and
Discovery in Databases, April 1995. BibTeX entry |
| [1806] |
Masaru Tomita.
Efficient Parsing for Natural Language.
Kluwer Academic Publishers, Boston, 1986. BibTeX entry |
| [1807] |
Simon Tong and Daphne Koller.
Support vector machine active learning with applications to text
classification.
In Proceedings of the Seventeenth International Conference on
Machine Learning (ICML-2000), 2000. BibTeX entry |
| [1808] |
Simon Tong.
Active Learning: Theory and Applications.
PhD thesis, Stanford University, Stanford, CA, 2001. BibTeX entry |
| [1809] |
T. Ono, H. Hishigaki, A. Tanigami, and T. Takagi.
Automated extraction of information on protein-protein interactions
from the biological literature.
Bioinformatics, 17(2):155-161, 2001. BibTeX entry |
| [1810] |
Geoffrey G. Towell, Jude W. Shavlik, and Michiel O. Noordewier.
Refinement of approximate domain theories by knowledge-based
artificial neural networks.
In Proceedings of the Eighth National Conference on Artificial
Intelligence (AAAI-90), pages 861-866, Boston, MA, July 1990. BibTeX entry |
| [1811] |
Geoffrey G. Towell and Jude W. Shavlik.
Knowledge-based artificial neural networks.
Artificial Intelligence, 70:119-165, 1994. BibTeX entry |
| [1812] |
Geoffrey G. Towell and Jude W. Shavlik.
Interpretation of artificial neural networks: Mapping knowledge-based
neural networks into rules.
In Richar P. Lippmann, John E. Moody, and David S. Touretzky,
editors, Advances in Neural Information Processing Systems, volume 4.
Morgan Kaufmann, 1992. BibTeX entry |
| [1813] |
Geoffrey G. Towell, Mark Craven, and Jude W. Shavlik.
Constructive induction in knowledge-based neural networks.
In Proceedings of the Eighth International Workshop on Machine
Learning, pages 213-217, Evanston, IL, June 1991. BibTeX entry |
| [1814] |
Geoffrey G. Towell and Jude W. Shavlik.
Extracting refined rules from knowledge-based neural networks.
Machine Learning, 13(1):71-102, 1993. BibTeX entry |
| [1815] |
Geoffrey G. Towell and Jude W. Shavlik.
Refining symbolic knowledge using neural networks.
In Proceedings of the First International Workshop on
Multistrategy Learning, pages 257-272, Harper's Ferry, W.Va., November
1991. BibTeX entry |
| [1816] |
Geoffrey G. Towell.
Symbolic Knowledge and Neural Networks: Insertion, Refinement,
and Extraction.
PhD thesis, University of Wisconsin, Madison, WI, 1991. BibTeX entry |
| [1817] |
D. M. Towne.
An experimental command and decision task.
Unpublished paper, 1994. BibTeX entry |
| [1818] |
David R. Traum and Elizabeth A. Hinkelman.
Conversation acts in task oriented spoken dialogue.
Computational Intelligence, 8(3):575-599, 1992. BibTeX entry |
| [1819] |
Stanley Tuhrim, James Reggia, and Sharon Goodall.
An experimental study of criteria for hypothesis plausibility.
Journal of Experimental and Theoretical Artificial
Intelligence, 3:129-144, 1991. BibTeX entry |
| [1820] |
Tad Tuleja.
Curious Customs: The Stories Behind 296 Popular American
Rituals.
Harmony Books, New York, 1987. BibTeX entry |
| [1821] |
Kagan Tumer and Joydeep Ghosh.
Error correlation and error reduction in ensemble classifiers.
Connection Science, 8(3-4):385-403, 1996. BibTeX entry |
| [1822] |
K. Tumer and N. Oza.
Decimated input ensembles for improved generalization.
In International Joint Conference on Neural Networks, 1999. BibTeX entry |
| [1823] |
Peter Turney.
Cost-sensitive learning bibliography.
Online bibliograpy, Institute for Information Technology of the
National Research Council of Canada, Ottawa, Canada.
http://ai.iit.nrc.ca/bibliographies/cost-sensitive.html, 1997. BibTeX entry |
| [1824] |
Peter D. Turney.
Mining the web for synonyms: Pmi-ir versus lsa on toefl.
In Proceedings of the 12th European Conference on Machine
Learning (ECML-01), pages 491-502, Freiburg, Germany, 2001. BibTeX entry |
| [1825] |
P. D. Turney.
Types of cost in inductive concept learning.
In Proceedings of the Workshop on Cost-Sensitive Learning at the
17th International Conference on Machine Learning, Palo Alto, CA, 2000. BibTeX entry |
| [1826] |
Howard R. Turtle and James Flood.
Query evaluation: Strategies and optimizations.
Information Processing and Management, 31(6):831-850, November
1995. BibTeX entry |
| [1827] |
Amos Tversky.
Features of similarity.
Psychological Review, 84(4):327-352, 1977. BibTeX entry |
| [1828] |
Amos Tversky and Daniel Kahneman.
Extensional versus intuitive reasoning: The conjunction fallacy in
probability judgement.
Psychological Review, 90:293-315, 1983. BibTeX entry |
| [1829] |
Jeffrey D. Ullman.
Principles of Database and Knowledge-Base Systems I.
Computer Science Press, New York, NY, 1988. BibTeX entry |
| [1830] |
Jeffrey D. Ullman.
Principles of Database and Knowledge-Base Systems II: The New
Technologies.
Computer Science Press, New York, NY, 1989. BibTeX entry |
| [1831] |
Paul E. Utgoff and Jeffrey A. Clouse.
Two kinds of training information for evaluation function learning.
In Proceedings of the Ninth National Conference on Artificial
Intelligence (AAAI-91), pages 596-600, 1991. BibTeX entry, Available here |
| [1832] |
Paul E. Utgoff.
Shift of bias for inductive concept learning.
In Ryszard S. Michalski, Jaime G. Carbonell, and Tom M. Mitchell,
editors, Machine Learning: An AI Approach, Vol. II, pages 107-148.
Morgan Kaufmann, 1986. BibTeX entry |
| [1833] |
Paul E. Utgoff and Sharad Saxena.
Learning a preference predicate.
In Proceedings of the Fourth International Workshop on Machine
Learning, pages 115-121, Irvine, CA, June 1987. BibTeX entry |
| [1834] |
Paul E. Utgoff.
Incremental induction of decision trees.
Machine Learning, 4(2):161-186, 1989. BibTeX entry |
| [1835] |
Haleh Vafaie and Ibrahim F. Imam.
Feature selection methods: Genetic algorithms vs. greedy-like search.
In International Conference on Fuzzy and Intelligent Control
Systems, 1994. BibTeX entry |
| [1836] |
Giorgio Valentini and Thomas G. Dietterich.
Bias-variance analysis and ensembles of svm.
In Third International Workshop on Multiple Classifier Systems
(MCS-2002), pages 222-231, Cagliari, Italy, 2002. BibTeX entry |
| [1837] |
Giorgio Valentini and Thomas G. Dietterich.
Low bias bagged support vector machines.
In Proceedings of 20th International Conference on Machine
Learning (ICML-2003), pages 752-759, Washington, DC, 2003. BibTeX entry |
| [1838] |
Leslie G. Valiant.
A theory of the learnable.
Communications of the Association for Computing Machinery,
27(11):1134-1142, 1984. BibTeX entry |
| [1839] |
Marco Valtorta.
Automating rule strengths in expert systems.
In Proceedings of ECAI-88, August 1988. BibTeX entry |
| [1840] |
Marco Valtorta.
Some results on the complexity of knowledge-base refinement.
In Proceedings of the Sixth International Workshop on Machine
Learning, pages 326-331, Ithaca, NY, June 1988. BibTeX entry |
| [1841] |
Marco Valtorta.
More results on the complexity of knowledge-base refinement:belief
networks.
In Proceedings of the Seventh International Conference on
Machine Learning (ICML-90), pages 419-424, Austin, TX, June 1990. BibTeX entry |
| [1842] |
Frank van Harmelen and Alan Bundy.
Explanation-based generalisation = partial evaluation.
Artificial Intelligence, 36:401-412, 1988. BibTeX entry |
| [1843] |
Kurt VanLehn.
Learning one subprocedure per lesson.
In Jude W. Shavlik and T. G. Dietterich, editors, Readings in
machine learning, pages 754-773. Morgan Kaufmann, San Mateo, CA, 1990. BibTeX entry |
| [1844] |
Kurt VanLehn and William Ball.
A version space approach to learning context-free grammars.
Machine Learning, 2(1):39-74, 1987. BibTeX entry |
| [1845] |
V. N. Vapnik.
The Nature of Statistical Learning Theory.
Springer-Verlag, Berlin, 1995. BibTeX entry |
| [1846] |
V. N. Vapnik.
Statistical Learning Theory.
John Wiley & Sons, 1998. BibTeX entry |
| [1847] |
Paola Velardi.
Acquiring a semantic lexicon for natural language processing.
In Uri Zernik, editor, Lexical Acquisition: Exploiting On-Line
Resources to Build a Lexicon, pages 341-367. Lawrence Erlbaum and
Associates, Hillsdale, NJ, 1991. BibTeX entry |
| [1848] |
Manuela M. Veloso and Peter Stone.
FLECS: Planning with a flexible commitment strategy.
Journal of Artificial Intelligence Research, 3:25-52, June
1995. BibTeX entry |
| [1849] |
Manuela M. Veloso, Jaime G. Carbonell, Alicia Pérez, Daniel Borrajo, Eugene
Fink, and Jim Blythe.
Integrated planning and learning: The PRODIGY architecture.
Journal of Theoretical and Experimental Artificial Intelligence
Research, 7(1), June 1995. BibTeX entry |
| [1850] |
Manuela M. Veloso.
Learning by Analogical Reasoning in General Problem Solving.
PhD thesis, School of Computer Science, Carnegie Mellon University,
August 1992. BibTeX entry |
| [1851] |
Manuela M. Veloso.
Learning by analogical reasoning in general problem solving.
Technical Report CMU-CS-92-174, School of Computer Science, Carnegie
Mellon University, Pittsburgh, PA, 1992. BibTeX entry |
| [1852] |
J. C. Venter and et al.
The sequence of the human genome.
Science, Feb 16;291(5507):1304-1351, 2001. BibTeX entry |
| [1853] |
Marc B. Vilain.
Getting serious about parsing plans: a grammatical analysis of plan
recognition.
In Proceedings of the Eighth National Conference on Artificial
Intelligence (AAAI-90), pages 190-197, Menlo Park, CA, 1990. BibTeX entry |
| [1854] |
Jonathan M. Vinson and Lyle H. Ungar.
Dynamic process monitoring and fault diagnosis with qualitative
models.
IEEE Transactions on Systems, Man, and Cybernetics, 25(1),
January 1995. BibTeX entry |
| [1855] |
V. S. Costa, A. Srinivasan, R. C. Camacho, H. Blockeel, B.Demoen, G. Janssens,
J. Struyf, H. Vandecasteele, and W. Van Laer.
Query transformations for improving the efficiency of ilp systems.
Journal of Machine Learning Research (To Appear), 2002. BibTeX entry |
| [1856] |
Virginia Volterra and Jana M. Iverson.
When do modality factors affect the course of language acquisition?
In K. Emmorey and J. Reilly, editors, Language, gesture, and
space, pages 371-390. Erlbaum, Hillsdale, NJ, 1995. BibTeX entry |
| [1857] |
Ellen M. Voorhees, Claudia Leacock, and Geoffrey Towell.
Learning context to disambiguate word senses.
In T. Petsche, S. Hanson, and Jude W. Shavlik, editors,
Computational Learning Theory and Natural Learning Systems, Vol. 3, pages
279-305. MIT Press, Cambridge, MA, 1995. BibTeX entry |
| [1858] |
Robert A. Wagner and Michael J. Fisher.
The string to string correction problem.
Journal of the Association for Computing Machinery,
21:168-173, 1974. BibTeX entry |
| [1859] |
Kiri Wagstaff and Claire Cardie.
Clustering with instance-level constraints.
In Proceedings of the Seventeenth International Conference on
Machine Learning (ICML-2000), pages 1103-1110, Stanford, CA, 2000. BibTeX entry |
| [1860] |
Kiri Wagstaff, Claire Cardie, Seth Rogers, and Stefan Schroedl.
Constrained K-Means clustering with background knowledge.
In Proceedings of 18th International Conference on Machine
Learning (ICML-2001), pages 577-584, 2001. BibTeX entry |
| [1861] |
Kiri Wagstaff.
Personal communication, 2001. BibTeX entry |
| [1862] |
Kiri Wagstaff.
Intelligent Clustering with Instance-Level Constraints.
PhD thesis, Cornell University, 2002. BibTeX entry |
| [1863] |
A. Waibel and K. F. Lee, editors.
Readings in Speech Recognition.
Morgan Kaufmann, San Mateo,CA, 1990. BibTeX entry |
| [1864] |
Donald Walker and Robert Amsler.
The use of machine-readable dictionaries in sublanguage analysis.
In R. Grishman and R. Kittredge, editors, Analyzing Language in
Restricted Domains, pages 69-83. Lawrence Erlbaum and Associates,
Hillsdale, NJ, 1986. BibTeX entry |
| [1865] |
C. S. Wallace and D. L. Lowe.
Minimum message length and Kolmogorov complexity.
In The Computer Journal. Oxford University Press, 1999. BibTeX entry |
| [1866] |
David L. Waltz.
Understanding line drawings of scenes with shadows.
In Patrick H. Winston, editor, The Psychology of Computer
Vision, pages 19-91. McGraw Hill, Cambridge, MA, 1975. BibTeX entry |
| [1867] |
David L. Waltz.
An English language question answering system for a large
relational database.
Communications of the Association for Computing Machinery,
21(7):526-539, 1978. BibTeX entry |
| [1868] |
David L. Waltz.
Generating semantic descriptions from drawings of scenes with
shadows.
Technical report, MIT Artificial Intelligence Laboratory, 1972. BibTeX entry |
| [1869] |
Jason Tsong Li Wang, Bruce A. Shapiro, Dennis Shasha, Kaizhong Zhang, and
Kathleen M. Currey.
An algorithm for finding the largest approximately common
substructures of two trees.
IEEE Transactions on Pattern Analysis and Machine Intelligence,
20(8):889-895, 1998. BibTeX entry, Available here |
| [1870] |
David H. D. Warren and Fernando C. N. Pereira.
An efficient easily adaptable system for interpreting natural
language queries.
American Journal of Computational Linguistics, 8(3-4):110-122,
1982. BibTeX entry |
| [1871] |
David H. D. Warren.
WARPLAN: A system for generating plans.
Technical Report Memo No. 76, Department of Computational Logic,
University of Edinburgh, 1974. BibTeX entry |
| [1872] |
S. Wasserman and K. Faust.
Social Network Analysis: Methods & Applications.
Cambridge University Press, Cambridge, UK, 1994. BibTeX entry |
| [1873] |
Tom Waters.
The dinosaur acid test.
Discover, February 1990. BibTeX entry |
| [1874] |
Raymond L. Watrous.
Current status of peterson-barney vowel formant data.
Journal of the Acoustical Society of America, 89(3):2459-60,
March 1991. BibTeX entry |
| [1875] |
William G. Baxt.
Improving the accuracy of an artificial neural network using multiple
differently trained networks.
Neural Computation, 4:772-780, 1992. BibTeX entry |
| [1876] |
Wray Buntine.
A theory of learning classification rules.
PhD thesis, University of Technology, Sydney, Australia, 1990. BibTeX entry |
| [1877] |
Geoffrey I. Webb and N. Brkic.
Learning decision lists by prepending inferred rules.
In Proceedings of the Australian Workshop on Machine Learning
and Hybrid Systems, pages 6-10, Melbourne, Australia, 1993. BibTeX entry |
| [1878] |
Geoffrey I. Webb.
Further experimental evidence against the utility of occam's razor.
Journal of Artificial Intelligence Research, 4:397-417, 1996. BibTeX entry |
| [1879] |
G. Webb.
Multiboosting: A technique for combining boosting and wagging.
Machine Learning, 40, 2000. BibTeX entry |
| [1880] |
Mort Webster and Mitch Marcus.
Automatic acquisition of the lexical semantics of verbs from sentence
frames.
In Proceedings of the 27th Annual Meeting of the Association for
Computational Linguistics (ACL-89), 1995. BibTeX entry |
| [1881] |
Webster's.
Webster's Encyclopedic Unabridged Dictionary of the English
Language.
Gramercy Books, New York/Avenel, 1994. BibTeX entry |
| [1882] |
Jacelyn Wedell-Monnig and Joan M. Lumley.
Child deafness and mother-child interaction.
Child Development, 51:766-774, 1980. BibTeX entry |
| [1883] |
Andreas S. Weigend, David E. Rumelhart, and Bernardo A. Huberman.
Generalization by weight-elimination with application to forecasting.
In Richard P. Lippmann, John E. Moody, and David S. Touretzky,
editors, Advances in Neural Information Processing Systems 3, pages
875-882. Morgan Kaufmann, San Mateo, CA, 1991. BibTeX entry |
| [1884] |
Andreas S. Weigend, Bernardo A. Huberman, and David E. Rumelhart.
Predicting the future: A connectionist approach.
International Journal of Neural Systems, 1:193-209, 1990. BibTeX entry |
| [1885] |
R. Weischedel and et al.
Coping with ambiguity and unknown words through probabilistic models.
Computational Linguistics, 19(2):359-382, 1993. BibTeX entry |
| [1886] |
Jerzy Stefanowski and Dawid Weiss.
Carrot2 and language properties in web search results clustering.
In Lecture Notes in Artificial Intelligence: Advances in Web
Intelligence, Proceedings of the First International Atlantic Web
Intelligence Conference, pages 240-249. Springer Verlag, 2003. BibTeX entry |
| [1887] |
Casimir A. Kulikowski and Sholom M. Weiss.
Computer Systems That Learn - Classification and Prediction
Methods from Statistics, Neural Nets, Machine Learning, and Expert Systems.
Morgan Kaufmann, San Mateo, CA, 1991. BibTeX entry |
| [1888] |
Sholom M. Weiss and Ioannis Kapouleas.
An empirical comparison of pattern recognition, neural nets, and
machine learning classification methods.
In Proceedings of the Eleventh International Joint Conference on
Artificial Intelligence (IJCAI-89), pages 781-787, Detroit, MI, August
1989. BibTeX entry |
| [1889] |
Joseph Weizenbaum.
ELIZA - A computer program for the study of natural language
communications between men and machines.
Communications of the Association for Computing Machinery,
9:36-45, 1966. BibTeX entry |
| [1890] |
Weka: Machine Learning Software.
http://www.cs.waikato.ac.nz/ml/weka/. BibTeX entry |
| [1891] |
Weka3: Open Source Machine Learning Software in Java.
http://www.cs.waikato.ac.nz/~ml/weka/. BibTeX entry |
| [1892] |
Michael P. Wellman.
Fundamental concepts of qualitative probabilistic networks.
Artificial Intelligence, 44:257-303, 1990. BibTeX entry |
| [1893] |
Etienne Wenger.
Artificial Intelligence and Tutoring Systems.
Morgan Kaufmann, Los Altos, CA, 1987. BibTeX entry |
| [1894] |
Janet F. Werker, Leslie B. Cohen, Valerie L. Lloyd, Marianella Casasola, and
Christine L. Stager.
Acquisition of word-object associations by 14-month-old infants.
Developmental Psychology, in press. BibTeX entry |
| [1895] |
Stefan Wermter, Ellen Riloff, and Gabrille Scheler, editors.
Connectionist, Statistical, and Symbolic Approaches to Learning
for Natural Language Processing.
Springer Verlag, Berlin, 1996. BibTeX entry |
| [1896] |
Stefan Wermter and Volker Weber.
SCREEN: Learning a flat syntactic and semantic spoken language
analysis using artificial neural networks.
Journal of Artificial Intelligence Research, 6:35-85, 1997. BibTeX entry |
| [1897] |
D. Wettschereck, D. W. Aha, and T. Mohri.
A review and empirical evaluation of feature weighting methods for a
class of lazy learning algorithms.
AI Review, 11:273-314, 1997. BibTeX entry |
| [1898] |
Michael White, Claire Cardie, Chung-Hye Han, Nari Kim, Beonit Lavoie, Martha
Palmer, Owen Rambow, and Juntae Yoon.
Towards translingual information access using portable information
extraction.
In Proceedings of the Applied Natural Language Processing and
the North American Chapter of the Association for Computational Linguistics
(ANLP/NAACL-2000) Workshop on Embedded MT Systems, pages 31-37, Seattle,
WA, April 2000. BibTeX entry |
| [1899] |
Bradley L. Whitehall, Stephen C. Y. Lu, and Robert E. Stepp.
Theory completion using knowledge-based learning.
In Proceedings of the First International Workshop on
Multistrategy Learning, pages 144-159, Harper's Ferry, W.Va., November
1991. BibTeX entry |
| [1900] |
Bradley Lane Whitehall.
Substructure discovery in executed action sequences.
Master's thesis, University of Illinois at Urbana-Champaign, 1987. BibTeX entry |
| [1901] |
Bradley L. Whitehall.
Knowledge-Based Learning: An Integration of Deductive and
Inductive Learning for Knowledge Base Completion.
PhD thesis, University of Illinois, Urbana, IL, October 1990.
Also appears as Technical Report UILU-ENG-90-1776. BibTeX entry |
| [1902] |
Steven D. Whitehead.
A complexity analysis of cooperative mechanisms in reinforcement
learning.
In Proceedings of the Ninth National Conference on Artificial
Intelligence (AAAI-91), pages 607-613, 1991. BibTeX entry |
| [1903] |
Joe Whittaker.
Graphical Models in Applied Multivariate Statistics.
John Wiley, New York, 1990.
A very readable general textbook on belief networks from a
statistical perspective, focusing on ML estimation and model selection. BibTeX entry |
| [1904] |
Gerhard Widmer and Miroslav Kubat.
Learning in the presence of concept drift and hidden contexts.
Machine Learning, 23(1):69-101, 1996. BibTeX entry |
| [1905] |
Gerhard Widmer and Miroslav Kubat (Eds.).
Special issue on context sensitivity and concept drift.
Machine Learning, 32(2), 1998. BibTeX entry |
| [1906] |
Robert W. Wilensky.
Planning and Understanding: A Computational Approach to Human
Reasoning.
Addison-Wesley, Reading, MA, 1983. BibTeX entry |
| [1907] |
Robert W. Wilensky.
Understanding Goal-Based Stories.
PhD thesis, Department of Computer Science, Yale University, New
Haven, CT, September 1978.
Technical Report 140. BibTeX entry |
| [1908] |
David C. Wilkins.
Knowlege base refinement using apprenticeship learning techniques.
In Proceedings of the Seventh National Conference on Artificial
Intelligence (AAAI-88), pages 646-651, St. Paul, MN, August 1988. BibTeX entry |
| [1909] |
David C. Wilkins.
Apprenticeship Learning Techniques for Knowledge Based Systems.
PhD thesis, EECS Department, University of Michigan, Ann Arbor, MI,
1987. BibTeX entry |
| [1910] |
Yorick Wilks.
Review of K. sparck jones and J. galliers, evaluating natural
language processing systems: An analysis and review.
Artificial Intelligence, 107(1):165-170, 1999. BibTeX entry |
| [1911] |
Mike Williamson and Steve Hanks.
Optimal planning with a goal-directed utility model.
In Proceedings of the Second International Conference of AI
Planning Systems, pages 176-181, Chicago, June 1994. BibTeX entry |
| [1912] |
D. Randall Wilson and Tony R. Martinez.
Instance-based learning with genetically derived attribute weights.
In International Conference on Artificial Intelligence, Expert
Systems and Neural Networks (AIE'96), pages 11-14, 1996. BibTeX entry |
| [1913] |
William E. Winkler.
String comparator metrics and enhanced decision rules in the
fellegi-sunter model of record linkage.
In Proceedings of the Section on Survey Research Methods,
American Statistical Association, pages 354-359, 1990. BibTeX entry |
| [1914] |
William E. Winkler.
Methods for record linkage and Bayesian networks.
Technical report, Statistical Research Division, U.S. Census Bureau,
Washington, DC, 2002. BibTeX entry |
| [1915] |
William E. Winkler.
Improved decision rules in the fellegi-sunter model of record
linkage.
Technical report, Statistical Research Division, U.S. Census Bureau,
Washington, DC, 1993. BibTeX entry |
| [1916] |
William E. Winkler.
Advanced methods for record linkage.
Technical report, Statistical Research Division, U.S. Census Bureau,
Washington, DC, 1994. BibTeX entry |
| [1917] |
William E. Winkler.
The state of record linkage and current research problems.
Technical report, Statistical Research Division, U.S. Census Bureau,
Washington, DC, 1999. BibTeX entry |
| [1918] |
Terry Winograd.
Understanding Natural Language.
Academic Press, Orlando, FL, 1972. BibTeX entry |
| [1919] |
Patrick H. Winston, Thomas O. Binford, Boris Katz, and Michael R. Lowry.
Learning physical descriptions from functional definitions, examples,
and precedents.
In Proceedings of the Third National Conference on Artificial
Intelligence (AAAI-83), pages 433-439, Washington, D.C., August 1983. BibTeX entry |
| [1920] |
Patrick H. Winston.
Learning structural descriptions from examples.
In Patrick H. Winston, editor, The Psychology of Computer
Vision. McGraw-Hill, New York, 1975. BibTeX entry |
| [1921] |
Patrick H. Winston.
Artificial Intelligence.
Addison-Wesley, Reading, MA, 1978. BibTeX entry |
| [1922] |
Patrick H. Winston and Berthold K. P. Horn.
Lisp.
Addison-Wesley, Reading, MA, 1989. BibTeX entry |
| [1923] |
Rüdiger Wirth.
Learning by failure to prove.
In Proceedings of the Third European Working Session on
Learning, pages 237-251. Pitman, 1988. BibTeX entry |
| [1924] |
Rüdiger Wirth.
Completing logic programs by inverse resolution.
In Proceedings of the Fourth European Working Session on
Learning, pages 239-250. Pitman, 1989. BibTeX entry |
| [1925] |
Rüdiger Wirth and Paul O'Rorke.
Constraints on predicate invention.
In Proceedings of the Eighth International Workshop on Machine
Learning, pages 457-461, Evanston, IL, June 1991. BibTeX entry |
| [1926] |
Edward J. Wisniewski.
Learning from examples: The effect of different conceptual roles.
In Proceedings of the Eleventh Annual Conference of the
Cognitive Science Society, pages 980-986, Ann Arbor, MI, 1989. BibTeX entry |
| [1927] |
Ian H. Witten and Eibe Frank.
Data Mining: Practical Machine Learning Tools and Techniques
with Java Implementations.
Morgan Kaufmann, San Francisco, 1999. BibTeX entry |
| [1928] |
James Wogulis.
Handling negation in first-order theory revision.
In Proceedings of the IJCAI-93 Workshop on Inductive Logic
Programming, pages 36-46, Chambery, France, 1993. BibTeX entry |
| [1929] |
James Wogulis and Michael Pazzani.
A methodology for evaluating theory revision systems: Results with
Audrey II.
In Proceedings of the Thirteenth International Joint Conference
on Artificial Intelligence (IJCAI-93), pages 1128-1134, Chambery, France,
1993. BibTeX entry |
| [1930] |
James Wogulis.
Revising relational domain theories.
In Proceedings of the Eighth International Workshop on Machine
Learning, pages 462-466, Evanston, IL, June 1991. BibTeX entry |
| [1931] |
James Wogulis.
An Approach to Repairing and Evaluating First-Order Theories
Containing Multiple Concepts and Negation.
PhD thesis, Department of Information and Computer Science,
University of California, Irvine, CA, 1994. BibTeX entry |
| [1932] |
J. Gerard Wolff.
Cognitive development as optimisation.
In L. Bolc, editor, Computational Models of Learning. Springer
Verlag, Berlin, 1987. BibTeX entry |
| [1933] |
J. Gerard Wolff.
Language acquisition, data compression, and generalization.
Language and Communication, 2:57-89, 1982. BibTeX entry |
| [1934] |
David H. Wolpert.
On the connection between in-sample testing and generalization error.
Complex Systems, 6:47-94, 1992. BibTeX entry |
| [1935] |
David H. Wolpert.
Stacked generalization.
Neural Networks, 5:241-259, 1992. BibTeX entry |
| [1936] |
Clinton Wong.
Web Client Programming.
O'Reilly and Associates, Sebastopol, CA, 1997. BibTeX entry |
| [1937] |
William A. Woods.
Lunar rocks in natural English: Explorations in natural language
question answering.
In Antonio Zampoli, editor, Linguistic Structures Processing.
Elsevier North-Holland, New York, 1977. BibTeX entry |
| [1938] |
William A. Woods.
Semantics and quantification in natural language question answering.
In Marshall Yovits, editor, Advances in Computers, vol. 17,
pages 2-64. Academic Press, New York, 1978.
Reprinted in Readings in Natural Language Processing, Barbar J.
Grosz, Karen Spark Jones, and Bonnie Lynn Webber (eds.), Morgan Kaufman,
Los Altos, CA, 1986. BibTeX entry |
| [1939] |
William A. Woods.
Transition network grammars for natural language analysis.
Communications of the Association for Computing Machinery,
13:591-606, 1970. BibTeX entry |
| [1940] |
Amanda L. Woodward.
The role of the whole object assumption in early word learning.
PhD thesis, Stanford University, Stanford, CA, 1992. BibTeX entry |
| [1941] |
Amanda L. Woodward.
Babies' learning about words and non-word signals in a communicative
context.
In 11th Biennial International Conference on Infant Studies,
Atlanta, GA, April 1998. BibTeX entry |
| [1942] |
Stefan Wrobel.
Inductive logic programming for knowledge discovery in databases.
In Saso Dzeroski and Nada Lavrac, editors,
Relational Data Mining. Springer Verlag, Berlin, 2001. BibTeX entry |
| [1943] |
Stefan Wrobel.
First order theory refinement.
In Luc De Raedt, editor, Advances in Inductive Logic
Programming, pages 14-33. IOS Press, Amsterdam, 1996. BibTeX entry |
| [1944] |
Dekai Wu and Xuanyin Xia.
Large-scale automatic extraction of an English-Chinese
translation lexicon.
Machine Translation, 9(3-4):285-313, 1995. BibTeX entry |
| [1945] |
Fritz Wysotzki.
Representation and induction of infinite concepts and recursive
action sequences.
In Proceedings of the Eighth International Joint Conference on
Artificial Intelligence (IJCAI-83), pages 409-414, Karlsruhe, West Germany,
1983. BibTeX entry |
| [1946] |
I. Xenarios, E. Fernandez, L. Salwinski, X. J. Duan, M. J. Thompson, E. M.
Marcotte, and D. Eisenberg.
DIP: The database of interacting proteins: 2001 update.
Nucleic Acids Research, 29(1):239-241, 2001. BibTeX entry |
| [1947] |
Eric P. Xing, Andrew Y. Ng, Michael I. Jordan, and Stuart Russell.
Distance metric learning, with application to clustering with
side-information.
In Advances in Neural Information Processing Systems 15, pages
505-512, Cambridge, MA, 2003. MIT Press. BibTeX entry |
| [1948] |
Yaser Yacoob and Michael J. Black.
Parameterized modeling and recognition of activities.
Computer Vision and Image Understanding, to appear. BibTeX entry |
| [1949] |
Der-Shung Yang, Larry A. Rendell, and Gunnar Blix.
A scheme for feature construction and a comparison of empirical
methods.
In Proceedings of the Twelfth International Joint Conference on
Artificial Intelligence (IJCAI-91), pages 699-704, Sydney, Australia, 1991. BibTeX entry |
| [1950] |
Yiming Yang.
An evaluation of statistical approaches to text categorization.
Journal of Information Retrieval, 1(1/2):67-88, May 1999. BibTeX entry |
| [1951] |
Yiming Yang, Jaime G. Carbonell, Ralf Brown, Tom Pierce, Brian Archibald, and
Xin Liu.
Learning approaches for detecting and tracking news events.
IEEE Intelligent Systems, 14(4):32-43, 1999. BibTeX entry |
| [1952] |
Cheng Yang, Usama Fayyad, and Paul Bradley.
Efficient discovery of error-tolerant frequent itemsets in high
dimensions.
In Proceedings of the Seventh ACM SIGKDD International
Conference on Knowledge Discovery and Data Mining (KDD-2001), pages
194-203, San Francisco, CA, August 2001. BibTeX entry |
| [1953] |
Yiming Yang and Jan O. Pedersen.
A comparative study on feature selection in text categorization.
In Proceedings of the Fourteenth International Conference on
Machine Learning (ICML-97), pages 412-420, San Francisco, CA, 1997. Morgan
Kaufmann. BibTeX entry |
| [1954] |
Yiming Yang and Xin Liu.
A re-examination of text cateogrization methods.
In Proceedings of 22nd International ACM SIGIR Conference on
Research and Development in Information Retrieval, Berkeley, CA, 1999. BibTeX entry |
| [1955] |
Yiming Yang.
An evaluation of statistical approaches to text categorization.
Technical Report CMU-CS-97-127, Computer Science Department, Carnegie
Mellon University, 1997. BibTeX entry |
| [1956] |
Vítor Santos Costa.
Optimising bytecode emulation for prolog.
In LNCS 1702, Proceedings of PPDP'99, pages 261-267.
Springer-Verlag, September 1999. BibTeX entry |
| [1957] |
David Yarowsky.
Decision lists for lexical ambiguity resolution: Application to
accent restoration in Spanish and French.
In Proceedings of the 32nd Annual Meeting of the Association for
Computational Linguistics (ACL-94), pages 88-95, Las Cruces, NM, 1994. BibTeX entry |
| [1958] |
David Yarowsky.
Unsupervised word sense disambiguation rivaling supervised methods.
In Proceedings of the 33rd Annual Meeting of the Association for
Computational Linguistics (ACL-95), pages 189-196, 1995. BibTeX entry |
| [1959] |
David Yarowsky.
Word-sense disambiguation using statistical methods of Roget's
categories trained on large corpora.
In Proceedings of the Fourteenth International Conference on
Computational Linguistics, pages 454-460, 1992. BibTeX entry |
| [1960] |
Jonathan S. Yedidia, William T. Freeman, and Yair Weiss.
Generalized belief propagation.
In NIPS-2000, pages 689-695, 2000. BibTeX entry |
| [1961] |
Jungsoon Yoo and Douglas Fisher.
Concept formation over problem-solving experience.
In Douglas Fisher, Michael Pazzani, and Pat Langley, editors,
Concept Formation: Knowledge and Experience in Unspervised Learning. Morgan
Kaufmann, Palo Alto, CA, 1991. BibTeX entry |
| [1962] |
Yoshio Hirose, Koichi Yamashita, and Shimpei Hijiya.
Back-propagation algorithm which varies the number of hidden units.
Neural Networks, 4:61-66, 1991. BibTeX entry |
| [1963] |
Richard M. Young and Tim O'Shea.
Errors in children's subtraction.
Cognitive Science, 5:153-177, 1981. BibTeX entry |
| [1964] |
Lotfi A. Zadeh.
Fuzzy sets.
Information and Control, 8:338-353, 1965. BibTeX entry |
| [1965] |
Bianca Zadrozny and Charles Elkan.
Obtaining calibrated probability estimates from decision trees and
naive bayesian classifiers.
In Proceedings of 18th International Conference on Machine
Learning (ICML-2001), Williamstown, MA, 2001. BibTeX entry |
| [1966] |
Bianca Zadrozny and Charles Elkan.
Transforming classifier scores into accurate multiclass probability
estimates.
In Proceedings of the Eighth ACM SIGKDD International Conference
on Knowledge Discovery and Data Mining (KDD-2002), Edmonton, Alberta, 2002. BibTeX entry |
| [1967] |
Filip Zelezny, Ashwin Srinivasan, and David Page.
Lattice-search runtime distributions may be heavy-tailed.
In Proceedings of the 12th International Conference on Inductive
Logic Programming, 2002. BibTeX entry, Available here |
| [1968] |
John M. Zelle and Raymond J. Mooney.
Learning semantic grammars with constructive inductive logic
programming.
In Proceedings of the Eleventh National Conference on Artificial
Intelligence (AAAI-93), pages 817-822, Washington, D.C., July 1993. BibTeX entry |
| [1969] |
John M. Zelle and Raymond J. Mooney.
Inducing deterministic Prolog parsers from treebanks: A machine
learning approach.
In Proceedings of the Twelfth National Conference on Artificial
Intelligence (AAAI-94), pages 748-753, Seattle, WA, August 1994. BibTeX entry |
| [1970] |
John M. Zelle and Raymond J. Mooney.
Learning to parse database queries using inductive logic programming.
In Proceedings of the Thirteenth National Conference on
Artificial Intelligence (AAAI-96), pages 1050-1055, Portland, OR, August
1996. BibTeX entry |
| [1971] |
John M. Zelle and Raymond J. Mooney.
Comparative results on using inductive logic programming for
corpus-based parser construction.
In Stefan Wermter, Ellen Riloff, and Gabrielle Scheler, editors,
Connectionist, Statistical, and Symbolic Approaches to Learning for Natural
Language Processing, pages 355-369. Springer, Berlin, 1996. BibTeX entry |
| [1972] |
John M. Zelle and Raymond J. Mooney.
Combining FOIL and EBG to speed-up logic programs.
In Proceedings of the Thirteenth International Joint Conference
on Artificial Intelligence (IJCAI-93), pages 1106-1111, Chambery, France,
1993. BibTeX entry |
| [1973] |
John M. Zelle, Cynthia A. Thompson, Mary Elaine Califf, and Raymond J. Mooney.
Inducing logic programs without explicit negative examples.
In Proceedings of the Fifth International Workshop on Inductive
Logic Programming (ILP-95), pages 403-416, Leuven, Belgium, 1995. BibTeX entry |
| [1974] |
John M. Zelle and Raymond J. Mooney.
Speeding-up logic programs by combining EBG and FOIL.
In Proceedings of the ML92 Workshop on Knowledge Compilation and
Speedup Learning, Aberdeen, Scotland, July 1992. BibTeX entry |
| [1975] |
John M. Zelle and Raymond J. Mooney.
Combining top-down and bottom-up methods in inductive logic
programming.
In Proceedings of the Eleventh International Conference on
Machine Learning (ICML-94), pages 343-351, New Brunswick, NJ, July 1994. BibTeX entry |
| [1976] |
John M. Zelle.
Using Inductive Logic Programming to Automate the Construction
of Natural Language Parsers.
PhD thesis, Department of Computer Sciences, University of Texas,
Austin, TX, August 1995.
Also appears as Artificial Intelligence Laboratory Technical Report
AI 96-249. BibTeX entry |
| [1977] |
John M. Zelle.
Learning search-control heuristics for logic programs: Applications
to speed-up learning and language acquisition.
Technical Report AI93-200, Department of Computer Sciences,
University of Texas, Austin, TX, 1993. BibTeX entry |
| [1978] |
G. Zenobi and P. Cunningham.
Using diversity in preparing ensembles of classifiers based on
different feature subsets to minimize generalization error.
In Proceedings of the European Conference on Machine Learning,
2001. BibTeX entry |
| [1979] |
Uri Zernick.
Train1 vs. train2: Tagging word senses in corpus.
In Uri Zernik, editor, Lexical Acquisition: Exploiting On-Line
Resources to Build a Lexicon, pages 91-112. Lawrence Erlbaum and
Associates, Hillsdale, NJ, 1991. BibTeX entry |
| [1980] |
Uri Zernick and Michael G. Dyer.
The self-extending phrasal lexicon.
Computational Linguistics, 13(3-4):308-327, 1987. BibTeX entry |
| [1981] |
Uri Zernik.
Language acquisition: Learning a hierarchy of phrases.
In Proceedings of the Tenth International Joint Conference on
Artificial Intelligence (IJCAI-87), pages 125-132, Milan, Italy, 1987. BibTeX entry |
| [1982] |
T. Zhang, R. Ramakrishnan, and M. Livny.
Birch: An efficient data clustering method for very large databases.
In In Proceedings of the ACM SIGMOD International Conference on
Management of Data, pages 103-114, 1996. BibTeX entry |
| [1983] |
Kaizhong Zhang and Dennis Shasha.
Simple fast algorithms for the editing distance between trees and
related problems.
SIAM Journal on Computing, 18(6):1245-1262, December 1989. BibTeX entry |
| [1984] |
Yongyue Zhang, Michael Brady, and Stephen Smith.
Hidden Markov random field model and segmentation of brain MR
images.
IEEE Transactions on Medical Imaging, 20(1):45-57, 2001. BibTeX entry |
| [1985] |
Y. Zhang, S. M. Smith, and M. Brady.
Hidden Markov random field model and segmentation of brain MR
images.
Technical Report TR00YZ1, Oxford Center for FMRIB, John Radcliffe
Hospital, 2000. BibTeX entry |
| [1986] |
Z. Zheng.
Naive Bayesian classifier committees.
In Proceedings of the 10th European Conference on Machine
Learning, pages 196-207, Berlin, 1998. Springer-Verlag. BibTeX entry |
| [1987] |
Z. Zheng and B. Padmanabhan.
On active learning for data acquisition.
In Proceedings of IEEE Conference on Data Mining, 2002. BibTeX entry |
| [1988] |
Z. Zheng and B. Padmanabhan.
Knowing better whether knowing more: a method for selective
acquisitions of additional customer information.
Working paper, OPIM Dept, The Wharton School, University of
Pennsylvania, 2004. BibTeX entry |
| [1989] |
Yujian Zhou, Reva Freedman, Michael Glass, Joel A. Michael, Allen A. Rovick,
and Martha W. Evens.
Delivering hints in a dialogue-based intelligent tutoring system.
In Proceedings of the Sixteenth National Conference on
Artificial Intelligence (AAAI-99), pages 128-134, Orlando, FL, 1999. BibTeX entry |
| [1990] |
X. Zhu, J. Lafferty, and Z. Ghahramani.
Combining active learning and semi-supervised learning using
Gaussian fields and harmonic functions.
In Proc. of the ICML Workshop on the Continuum from Labeled to
Unlabeled Data, pages 58-65, 2003. BibTeX entry |
| [1991] |
George K. Zipf.
Human behavior and the principle of least effort.
Addison-Wesley, New York, NY, 1949. BibTeX entry |
| [1992] |
Monte Zweben, Eugene Davis, Brian Daun, Ellen Drascher, Michael Deale, and
Megan Eskey.
Learning to improve constraint-based scheduling.
Artificial Intelligence, 58:271-296, 1992. BibTeX entry |