Machine Learning Proceedings 1994

Machine Learning Proceedings 1994

Proceedings of the Eleventh International Conference, Rutgers University, New Brunswick, NJ, July 10–13, 1994
1994, Pages 343-351
Machine Learning Proceedings 1994

Combining Top-down and Bottom-up Techniques in Inductive Logic Programming

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Abstract

This paper describes a new method for inducing logic programs from examples which attempts to integrate the best aspects of existing ILP methods into a single coherent framework. In particular, it combines a bottom-up method similar to GOLEM with a top-down method similar to FOIL. It also includes a method for predicate invention similar to CHAMP and an elegant solution to the “noisy oracle” problem which allows the system to learn recursive programs without requiring a complete set of positive examples. Systematic experimental comparisons to both GOLEM and FOIL on a range of problems are used to clearly demonstrate the advantages of the approach.

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