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Synopsis
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, in principle, provide good model solutions, a methodology is still needed to guide the search for the most appropriate model in an efficient way. Metalearning provides one such methodology that allows systems to become more effective through experience.
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 to yield faster, more effective solutions to data mining problems. It can thus help developers improve their algorithms and also develop learning systems that can improve themselves.
The book will be of interest to researchers and graduate students in the areas of machine learning, data mining and artificial intelligence.
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- ÉditeurSpringer-Verlag Berlin and Heidelberg GmbH & Co. K
- Date d'édition2008
- ISBN 10 3540732624
- ISBN 13 9783540732624
- ReliureRelié
- Langueanglais
- Nombre de pages176
- Coordonnées du fabricantnon disponible
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Metalearning : Applications to Data Mining
Edité par
Springer Berlin Heidelberg, 2008
ISBN 10 : 3540732624
ISBN 13 : 9783540732624
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Etat : Gut. Zustand: Gut | Seiten: 192 | Sprache: Englisch | Produktart: Bücher. N° de réf. du vendeur 4680280/13
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Metalearning
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Metalearning
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Springer Berlin Heidelberg, 2008
ISBN 10 : 3540732624
ISBN 13 : 9783540732624
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Gebunden. Etat : 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. N° de réf. du vendeur 4899634
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Metalearning : Applications to Data Mining
Edité par
Springer Berlin Heidelberg, 2008
ISBN 10 : 3540732624
ISBN 13 : 9783540732624
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Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - 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, in principle, provide good model solutions, a methodology is still needed to guide the search for the most appropriate model in an efficient way. Metalearning provides one such methodology that allows systems to become more effective through experience.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 to yield faster, more effective solutions to data mining problems. It can thus help developers improve their algorithms and also develop learning systems that can improve themselves. The book will be of interest to researchers and graduate students in the areas of machine learning, data mining and artificial intelligence. N° de réf. du vendeur 9783540732624
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Metalearning
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Springer Berlin Heidelberg Nov 2008, 2008
ISBN 10 : 3540732624
ISBN 13 : 9783540732624
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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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, in principle, provide good model solutions, a methodology is still needed to guide the search for the most appropriate model in an efficient way. Metalearning provides one such methodology that allows systems to become more effective through experience.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 to yield faster, more effective solutions to data mining problems. It can thus help developers improve their algorithms and also develop learning systems that can improve themselves. The book will be of interest to researchers and graduate students in the areas of machine learning, data mining and artificial intelligence. 192 pp. Englisch. N° de réf. du vendeur 9783540732624
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Metalearning
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