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Synopsis
Extending Explanation-Based Learning by Generalizing the Structure of Explanations presents several fully-implemented computer systems that reflect theories of how to extend an interesting subfield of machine learning called explanation-based learning. This book discusses the need for generalizing explanation structures, relevance to research areas outside machine learning, and schema-based problem solving. The result of standard explanation-based learning, BAGGER generalization algorithm, and empirical analysis of explanation-based learning are also elaborated. This text likewise covers the effect of increased problem complexity, rule access strategies, empirical study of BAGGER2, and related work in similarity-based learning. This publication is suitable for readers interested in machine learning, especially explanation-based learning.
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- PublisherMorgan Kaufmann
- Publication date1990
- ISBN 10 0273088173
- ISBN 13 9780273088172
- BindingPaperback
- LanguageEnglish
- Number of pages232
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Extending Explanation-Based Learning by Generalizing the Structure of Explanations (Research Notes in Artificial Intelligence)
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Softcover. Condition: Bon. Ancien livre de bibliothèque. Edition 1990. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Good. Former library book. Edition 1990. Ammareal gives back up to 15% of this item's net price to charity organizations. Seller Inventory # F-924-436
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Extending Explanation-Based Learning by Generalizing the Structure of Explanations (Research Notes in Artificial Intelligence)
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Extending Explanation-Based Learning by Generalizing the Structure of Explanations (Research notes in artificial intelligence)
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