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Metalearning : Applications to Data Mining

Author: Pavel BrazdilChristophe Giraud-CarrierJ SiekmannCarlos SoaresRicardo VilaltaAll authors
Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2009.
Series: Cognitive Technologies
Edition/Format:   Computer file : English : Online-ausgView all editions and formats
Summary:

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,  Read more...

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Material Type: Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Pavel Brazdil; Christophe Giraud-Carrier; J Siekmann; Carlos Soares; Ricardo Vilalta; D M Gabbay
ISBN: 9783540732631 3540732632 9783540732624 3540732624
OCLC Number: 612120598
Reproduction Notes: Online-Ausg. Berlin [u.a.] Springer, 2008. online-Ressource.
Description: S.
Contents: 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.
Series Title: Cognitive Technologies
Responsibility: by Pavel Brazdil, Christophe Giraud-Carrier, Carlos Soares, Ricardo Vilalta ; edited by D.M. Gabbay, J. Siekmann.

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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 Read more...

 
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