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Sinossi
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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Recensione
From the reviews:
"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)
Contenuti
Metalearning: Concepts and Systems.- Metalearning for Algorithm Recommendation: an Introduction.- Development of Metalearning Systems for Algorithm Recommendation.- Extending Metalearning to Data Mining and KDD.- Extending Metalearning to Data Mining and KDD.- Bias Management in Time-Changing Data Streams.- Transfer of Metaknowledge Across Tasks.- Composition of Complex Systems: Role of Domain-Specific Metaknowledge.
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Metalearning: Applications to Data Mining
Da: Bookbot, Prague, Repubblica Ceca
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Softcover. Condizione: As New. Leichte Abnutzungen. 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. Codice articolo bf69b204-4904-452b-ad7b-9fbbca323e2f
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Metalearning
Print on DemandDa: moluna, Greven, Germania
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Condizione: 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. Codice articolo 5048249
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Metalearning: Applications to Data Mining
Editore:
Springer Berlin Heidelberg, 2008
ISBN 10: 3642092314
ISBN 13: 9783642092312
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Da: Revaluation Books, Exeter, Regno Unito
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Paperback. Condizione: Brand New. 187 pages. 9.00x6.00x0.44 inches. In Stock. Codice articolo __3642092314
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