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Synopsis
This book discusses several approaches to obtaining knowledge concerning the performance of machine learning and data mining algorithms. It shows how this knowledge can be reused to select, combine, compose and adapt both algorithms and models.
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Review
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"There are many techniques available for machine learning from data ... . the problem is: given a set of data, which of the learning systems should one use? The goal of this book is to initiate a study of this problem. ... The mixture of detailed description and overview is well managed. The reader is able to see how the authors’ ideas and work fit into a larger framework. Graduate students looking for thesis topics should read this book." (J. P. E. Hodgson, ACM Computing Reviews, May, 2009)
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- PublisherSpringer
- Publication date2010
- ISBN 10 3642092314
- ISBN 13 9783642092312
- BindingPaperback
- LanguageEnglish
- Number of pages187
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Metalearning
Published by
Springer Berlin Heidelberg, 2010
ISBN 10: 3642092314
ISBN 13: 9783642092312
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Softcover
Seller: moluna, Greven, Germany
Seller rating 5 out of 5 stars
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Metalearning is the study of principled methods that exploit metaknowledge to obtain efficient models and solutions by adapting machine learning and data mining processes. While the variety of machine learning and data mining techniques now available can. Seller Inventory # 5048249
Quantity: Over 20 available