This paper presents constructive induction techniques recently added to the EITHER theory refinement system. These additions allow EITHER to handle arbitrary gaps at the ``top,'' ``middle,'' and/or ``bottom'' of an incomplete domain theory. Intermediate concept utilization employs existing rules in the theory to derive higher-level features for use in induction. Intermediate concept creation employs inverse resolution to introduce new intermediate concepts in order to fill gaps in a theory that span multiple levels. These revisions allow EITHER to make use of imperfect domain theories in the ways typical of previous work in both constructive induction and theory refinement. As a result, EITHER is able to handle a wider range of theory imperfections than does any other existing theory refinement system.

PDF, PS

In Proceedings of the Eighth International Workshop on Machine Learning, pp. 178-182, Evanston, IL, June 1991.

@InProceedings{mooney:ml91, title={Constructive Induction in Theory Refinement}, author={Raymond J. Mooney and Dirk Ourston}, booktitle={Proceedings of the Eighth International Workshop on Machine Learning}, month={June}, address={Evanston, IL}, key={EITHER}, pages={178-182}, url="http://www.cs.utexas.edu/users/ai-lab?mooney:ml91", year={1991} }