Extending Explanation-Based Learning by Generalizing the Structure of Explanations

Released on by Jude W. Shavlik
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  • Extending Explanation-Based Learning by Generalizing the Structure of Explanations Book Detail

  • Author : Jude W. Shavlik
  • Release Date : 2014-07-10
  • Publisher : Morgan Kaufmann
  • Genre : Computers
  • Pages : 232
  • ISBN 13 : 1483258912
  • File Size : 67,67 MB
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Extending Explanation-Based Learning by Generalizing the Structure of Explanations by Jude W. Shavlik PDF Summary

Book 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.

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