Machine Learning : An Artificial Intelligence Approach

Michalski, Ryszard S.; Carbonell, J. G.

ISBN 10: 0935382054 / ISBN 13: 9780935382051

Published by Elsevier Science & Technology Books, 1983

Used book that is in clean, average condition without any missing pages. Seller Inventory # 6336523-6

Synopsis:

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.

From the Back Cover:

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.

See below for earlier volumes in the series.

Bibliographic Details

Title: Machine Learning : An Artificial ...
Publisher: Elsevier Science & Technology Books
Publication Date: 1983
Binding: Hardcover
Condition: Good