Publications: 2005

1. Creating Diverse Ensemble Classifiers to Reduce Supervision
   [Details] [PDF]
   Prem Melville
   PhD Thesis, Department of Computer Sciences, University of Texas at Austin, November 2005. 141 pages. Technical Report TR-05-49.
2. A Kernel-based Approach to Learning Semantic Parsers
   [Details] [PDF] [Slides (PPT)]
   Rohit J. Kate
   2005. Doctoral Dissertation Proposal, University of Texas at Austin.
3. Learning for Semantic Parsing Using Statistical Machine Translation Techniques
   [Details] [PDF]
   Yuk Wah Wong
   2005. Doctoral Dissertation Proposal, University of Texas at Austin.
4. An Expected Utility Approach to Active Feature-value Acquisition
   [Details] [PDF]
   P. Melville, M. Saar-Tsechansky, F. Provost and Raymond J. Mooney
   In Proceedings of the International Conference on Data Mining, 745-748, Houston, TX, November 2005.
5. Adaptive Product Normalization: Using Online Learning for Record Linkage in Comparison Shopping
   [Details] [PDF]
   Mikhail Bilenko, Sugato Basu, and Mehran Sahami
   In Proceedings of the 5th International Conference on Data Mining (ICDM-2005), 58--65, Houston, TX, November 2005.
6. Combining Bias and Variance Reduction Techniques for Regression
   [Details] [PDF]
   Yuk Lai Suen, Prem Melville and Raymond J. Mooney
   Technical Report UT-AI-TR-05-321, University of Texas at Austin, July 2005. www.cs.utexas.edu/~ml/publication.
7. Alignments and String Similarity in Information Integration: A Random Field Approach
   [Details] [PDF]
   Mikhail Bilenko and Raymond J. Mooney
   In Proceedings of the 2005 Dagstuhl Seminar on Machine Learning for the Semantic Web, Dagstuhl, Germany, February 2005.
8. A Shortest Path Dependency Kernel for Relation Extraction
   [Details] [PDF]
   R. C. Bunescu, and Raymond J. Mooney
   In Proceedings of the Human Language Technology Conference and Conference on Empirical Methods in Natural Language Processing (HLT/EMNLP-05), 724-731, Vancouver, BC, October 2005.
9. Semi-supervised Clustering: Probabilistic Models, Algorithms and Experiments
   [Details] [PDF]
   Sugato Basu
   PhD Thesis, University of Texas at Austin, 2005.
10. Combining Bias and Variance Reduction Techniques for Regression
    [Details] [PDF]
    Y. L. Suen, P. Melville and Raymond J. Mooney
    In Proceedings of the 16th European Conference on Machine Learning, 741-749, Porto, Portugal, October 2005.
11. Consolidating the Set of Known Human Protein-Protein Interactions in Preparation for Large-Scale Mapping of the Human Interactome
    [Details] [PDF]
    A.K. Ramani, R.C. Bunescu, Raymond J. Mooney and E.M. Marcotte
    Genome Biology, 6(5):r40, 2005.
12. A Statistical Semantic Parser that Integrates Syntax and Semantics
    [Details] [PDF]
    Ruifang Ge and Raymond J. Mooney
    In Proceedings of CoNLL-2005, Ann Arbor, Michigan, June 2005.
13. Mining Knowledge from Text Using Information Extraction
    [Details] [PDF]
    Raymond J. Mooney and R. Bunescu
    SIGKDD Explorations (special issue on Text Mining and Natural Language Processing), 7(1):3-10, 2005.
14. Economical Active Feature-value Acquisition through Expected Utility Estimation
    [Details] [PDF]
    P. Melville, M. Saar-Tsechansky, F. Provost and Raymond J. Mooney
    In Proceedings of the KDD-05 Workshop on Utility-Based Data Mining, 10-16, Chicago, IL, August 2005.
15. Semi-supervised Graph Clustering: A Kernel Approach
    [Details] [PDF]
    B. Kulis, S. Basu, I. Dhillon and Raymond J. Mooney
    In Proceedings of the 22nd International Conference on Machine Learning, 457--464, Bonn, Germany, August 2005. (Distinguished Student Paper Award).
16. Using Biomedical Literature Mining to Consolidate the Set of Known Human Protein-Protein Interactions
    [Details] [PDF]
    A. Ramani, E. Marcotte, R. Bunescu and Raymond J. Mooney
    In Proceedings of the ISMB/ACL-05 Workshop of the BioLINK SIG: Linking Literature, Information and Knowledge for Biology, Detroit, MI, June 2005.
17. Model-based Overlapping Clustering
    [Details] [PDF]
    A. Banerjee, C. Krumpelman, S. Basu, Raymond J. Mooney and Joydeep Ghosh
    In Proceedings of the Eleventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-05), 2005.
18. Towards Self-Configuring Hardware for Distributed Computer Systems
    [Details] [PDF]
    Jonathan Wildstrom, Peter Stone, E. Witchel, Raymond Mooney and M. Dahlin
    In The Second International Conference on Autonomic Computing, 241-249, June 2005.
19. Active Learning for Probability Estimation using Jensen-Shannon Divergence
    [Details] [PDF]
    P. Melville, S. M. Yang, M. Saar-Tsechansky and Raymond J. Mooney
    In Proceedings of the 16th European Conference on Machine Learning, 268--279, Porto, Portugal, October 2005.
20. Learning to Transform Natural to Formal Languages
    [Details] [PDF] [Slides (PPT)]
    Rohit J. Kate, Yuk Wah Wong and Raymond J. Mooney
    In Proceedings of the Twentieth National Conference on Artificial Intelligence (AAAI-05), 1062-1068, Pittsburgh, PA, July 2005.
21. Explaining Recommendations: Satisfaction vs. Promotion
    [Details] [PDF]
    Mustafa Bilgic and Raymond J. Mooney
    In Proceedings of Beyond Personalization 2005: A Workshop on the Next Stage of Recommender Systems Research at the 2005 International Conference on Intelligent User Interfaces, San Diego, CA, January 2005.
22. Learning for Collective Information Extraction
    [Details] [PDF]
    Razvan C. Bunescu
    Technical Report TR-05-02, Department of Computer Sciences, University of Texas at Austin, October 2005. Ph.D. proposal.
23. Comparative Experiments on Learning Information Extractors for Proteins and their Interactions
    [Details] [PDF]
    Razvan Bunescu, Ruifang Ge, Rohit J. Kate, Edward M. Marcotte, Raymond J. Mooney, Arun Kumar Ramani, and Yuk Wah Wong
    Artificial Intelligence in Medicine (special issue on Summarization and Information Extraction from Medical Documents)(2):139-155, 2005.