Extending Explanation-Based Learning by Generalizing the Structure of Explanations
Publisher： Elsevier Science
Publication year： 2014
E-ISBN: 9781483258911
P-ISBN(Paperback): 9780273088172
Subject： TP11 automation system theory
Keyword： 社会科学理论与方法论
Language： ENG
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Description
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.