Machine Learning : Paradigms and Methods

Language: English

Published by MIT Press, 1990

0262530880 / 9780262530880

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nach der Bestellung gedruckt Neuware - Printed after ordering - Having played a central role at the inception of artificial intelligence research, machine learning has recently reemerged as a major area of study at the very core of the subject. Solid theoretical foundations are being constructed. Machine learning methods are being integrated with powerful performance systems, and practical applications; based on established techniques are emerging.Machine Learning unifies the field by bringing together and clearly explaining the major successful paradigms for machine learning: inductive approaches, explanation-based learning, genetic algorithms, and connectionist learning methods. Each paradigm is presented in depth, providing historical perspective but focusing on current research and potential applications.ContributorsJohn R. Anderson, L. B. Booker, John. H. Gennari, Jaime G. Carbonell, Oren Etzioni, Doug Fisher, Yolanda Gil, D. E. Goldberg, Gerald E. Hinton, J. H. Holland, Craig A Knoblock, Daniel. R. Kuokka, Pat Langley, David B. Leake, Steve Minton, Jack Mostow, Roger C. Schank, and Jan M. Zytkow.

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Title
Machine Learning : Paradigms and Methods
Author
Jaime Carbonell
Publisher
MIT Press
Publication year
1990
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
0262530880
ISBN 13
9780262530880
Item weight
653 grams
Dimensions
229x152x24 mm

AHA-BUCH GmbH

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