Extending Explanation-Based Learning by Generalizing the Structure of Explanations (Research Notes in Artificial Intelligence)

Shavlik, Jude W.

ISBN 10: 0273088173 / ISBN 13: 9780273088172

Published by Morgan Kaufmann, 1990

About this Item

Most items will be dispatched the same or the next working day. A copy that has been read but remains in clean condition. All of the pages are intact and the cover is intact and the spine may show signs of wear. The book may have minor markings which are not specifically mentioned.

Seller Inventory # wbs5738562935

Bibliographic Details

• Title: Extending Explanation-Based Learning by Generalizing the Structure of Explanations (Research Notes in Artificial Intelligence)
• Publisher: Morgan Kaufmann
• Publication Date: 1990
• Language: English
• ISBN 10: 0273088173
• ISBN 13: 9780273088172
• Binding: Soft cover
• Condition: Good

About this title

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.