Machine Learning: A Multistrategy Approach, Volume IV: 4 - Hardcover

Michalski, Tecuci

Hardcover

ISBN 10: 1558602518 ISBN 13: 9781558602519

Verlag: Morgan Kaufmann Publishers Inc., 1994

Inhaltsangabe

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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Edited by Ryszard S. Michalski and George Tecuci

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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.

See below for earlier volumes in the series.

Details zur Ausgabe

• Verlag: Morgan Kaufmann Publishers Inc.
• Erscheinungsdatum: 1994
• Sprache: Englisch
• ISBN 10: 1558602518
• ISBN 13: 9781558602519
• Einband: Tapa dura
• Anzahl der Seiten: 796
• Kontakt zum Hersteller: Nicht verfügbar