Learning Approximate Control Rules Of High Utility-Reference-Cited by-同舟云学术

Learning Approximate Control Rules Of High Utility

Published:1990 Issue: Volume: Page:268-276
ISSN:
Container-title:Machine Learning Proceedings 1990
language:
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Author:

Cohen William W.

Publisher

Elsevier

Reference17 articles.

1. Melissa Chase, Monte Zweban, Richard Piazza, John Burger, Paul Maglio, and Haym Hirsh. Approximating learned search control knowledge. In Proceedings of the Sixth International Workshop on Machine Learning. Morgan Kaufmann, 1989

2. Steve Chien. Using and refining simplifications: Explanation-based learning of plans in intractible domains. In Proceedings of the Eleventh International Joint Conference on Artificial Intelligence. IJCAI, 1989

3. William W. Cohen. Abductive explanation based learning: A solution to the multiple explanation problem. Technical Report ML-TR-26, Rutgers University, 1989

4. William W. Cohen. Learning from textbook knowledge. In Proceedings of the Eighth National Conference on Artificial Intelligence. AAAI, 1990

5. Tom Ellman. Approximate theory formation: An explanation-based approach. In Proceedings of the Seventh National Conference on Artificial Intelligence. Morgan Kaufmann, 1988

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