Title: Machine Learning Vol. II : An Artificial Intelligence Approach, Volume II
Publisher: Elsevier Science & Technology
Publication Date: 1986
Language: English
ISBN 10: 0934613001
ISBN 13: 9780934613002
Binding: Hardcover
Condition: Good
Weight: 2.586 pounds

About this title

Synopsis

Michalski, Ryszard S., Carbonell, Jaime G., Mitchell, Tom M.

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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.

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