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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.
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About the Author
Edited by Ryszard S. Michalski and George Tecuci
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- PublisherMorgan Kaufmann
- Publication date1994
- ISBN 10 1558602518
- ISBN 13 9781558602519
- BindingHardcover
- LanguageEnglish
- Edition number1
- Number of pages782
- EditorMichalski Ryszard S., Tecuci George
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Machine Learning: A Multistrategy Approach, Volume IV
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Machine Learning: A Multistrategy Approach, Volume IV
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Machine Learning A Multistrate
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Machine Learning: A Multistrategy Approach. Volume IV.
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Morgan Kaufmann Publishers, 1994
ISBN 10: 1558602518
ISBN 13: 9781558602519
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Machine Learning: A Multistrategy Approach, Volume IV
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