Machine Learning: An Artificial Intelligence Approach

Ryszard S. Michalski

ISBN 10: 0387132988 / ISBN 13: 9780387132983

Published by Springer, 1, 1984

About this Item

Hardback - 1984 - good condition, pages brown with age. Isbn 0-387-13298-8, 0-387-13298-8, 3540132988. 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. Ref ZKVQ. Seller Inventory # 11256

Bibliographic Details

Title: Machine Learning: An Artificial Intelligence...

Publisher: Springer, 1

Publication Date: 1984

Binding: Hardcover

Condition: Used: Acceptable

About this title

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.

About the Author:

Edited by Ryszard S. Michalski and George Tecuci