MACHINE LEARNING an Artificial Intelligence Approach
Michalski, Carbonell, & Mitchell (ed.)
Published by Tioga Publishing Company, Palo Alto, 1983
- Hardcover
- Used
Seller: J. Wyatt Books, Ottawa, ON, CanadaJ. Wyatt Books
AbeBooks seller since June 3, 1998
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US$ 23.00
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- Title
- MACHINE LEARNING an Artificial Intelligence Approach
- Author
- Michalski, Carbonell, & Mitchell (ed.)
- Publisher
- Tioga Publishing Company, Palo Alto
- Publication year
- 1983
- Condition
- Very Good
- Dust jacket
- No Jacket
- Book Type
- Book
- Binding
- Hardcover
- ISBN 10
- 0935382054
- ISBN 13
- 9780935382051
- Seller catalogs
- Science and Technology
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.
"Synopsis" may belong to another edition of this title.
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.
"About the title" may belong to another edition of this title.
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