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Machine Learning : A Multistrategy Approach, Volume IV - Ryszard S. Michalski

Machine Learning

A Multistrategy Approach, Volume IV

By: Ryszard S. Michalski (Editor), Gheorghe Tecuci (Editor)

Hardcover

Published: 9th February 1994
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Multistrategy learning is one of the newest and most promising research directions in the development of machine learning systems. The objectives of research in this area are to study trade-offs between different learning strategies and to develop learning systems that employ multiple types of inference or computational paradigms in a learning process. Multistrategy systems offer significant advantages over monostrategy systems. They are more flexible in the type of input they can learn from and the type of knowledge they can acquire. As a consequence, multistrategy systems have the potential to be applicable to a wide range of practical problems. This volume is the first book in this fast growing field. It contains a selection of contributions by leading researchers specializing in this area.

General Issues
Theory Revision
Cooperative Integration
Symbolic and Subsymbolic Learning
Special Topics and Applications
Table of Contents provided by Publisher. All Rights Reserved.

ISBN: 9781558602519
ISBN-10: 1558602518
Series: Machine Learning : Book 4
Audience: Professional
Format: Hardcover
Language: English
Number Of Pages: 782
Published: 9th February 1994
Country of Publication: US
Dimensions (cm): 23.5 x 16.31  x 4.6
Weight (kg): 1.24