MACHINE LEARNING by Jaime G. Carbonell (Editor) ( 9780262530880 )

Item Details

Title:

MACHINE LEARNING
PARADIGMS AND METHODS

By:

Format:

Paperback

List price:	£38.00
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ISBN 10:

0262530880

ISBN 13:

9780262530880

Publisher:

MIT PRESS LTD

Pub. date:

23 February, 1990

Series:

Special Issues of Artificial Intelligence

Pages:

400

Description:

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.

Synopsis:

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.The contributors are: John 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.Jaime G. Carbonell is Professor of Computer Science at Carnegie-Mellon University.

Publication:

Imprint:

MIT Press

Returns:

Returnable

Some other items by this author:

MACHINE LEARNING (HB)

MACHINE LEARNING (PB)