Overview
Part of the book series: Symbolic Computation (SYMBOLIC)
Part of the book sub series: Artificial Intelligence (1064)
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Table of contents (16 chapters)
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General Issues in Machine Learning
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Learning from Examples
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Learning in Problem-Solving and Planning
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Learning from Observation and Discovery
Keywords
About this book
Editors and Affiliations
Bibliographic Information
Book Title: Machine Learning
Book Subtitle: An Artificial Intelligence Approach
Editors: Ryszard S. Michalski, Jaime G. Carbonell, Tom M. Mitchell
Series Title: Symbolic Computation
DOI: https://doi.org/10.1007/978-3-662-12405-5
Publisher: Springer Berlin, Heidelberg
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eBook Packages: Springer Book Archive
Copyright Information: Springer-Verlag Berlin Heidelberg 1983
Softcover ISBN: 978-3-662-12407-9Published: 03 October 2013
eBook ISBN: 978-3-662-12405-5Published: 17 April 2013
Edition Number: 1
Number of Pages: XI, 572
Number of Illustrations: 25 b/w illustrations
Additional Information: Jointly published with Tioga Publishing Company, 1983
Topics: Artificial Intelligence, Machinery and Machine Elements