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Ensemble methods- [electronic resource] : foundations and algorithms
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Ensemble methods- [electronic resource] : foundations and algorithms
자료유형  
 단행본
International Standard Book Number  
9781439830055 (electronic bk.)
International Standard Book Number  
1439830053 (electronic bk.)
International Standard Book Number  
9781439830031 (hardback)
International Standard Book Number  
1439830037 (hardback)
Library of Congress Call Number  
QA278.4-.Z47 2012
Dewey Decimal Classification Number  
519.5/35-23
Main Entry-Personal Name  
Zhou, Zhi-Hua Ph D
Publication, Distribution, etc. (Imprint  
Boca Raton, FL : Taylor & Francis, 2012
Physical Description  
1 online resource.
Series Statement  
Chapman & Hall/CRC machine learning & pattern recognition series
Bibliography, Etc. Note  
Includes bibliographical references and index.
Formatted Contents Note  
완전내용Boosting -- Bagging -- Combination Methods -- Diversity -- Ensemble Pruning -- Clustering Ensembles -- Advanced Topics.
Summary, Etc.  
요약"This comprehensive book presents an in-depth and systematic introduction to ensemble methods for researchers in machine learning, data mining, and related areas. It helps readers solve modem problems in machine learning using these methods. The author covers the spectrum of research in ensemble methods, including such famous methods as boosting, bagging, and rainforest, along with current directions and methods not sufficiently addressed in other books. Chapters explore cutting-edge topics, such as semi-supervised ensembles, cluster ensembles, and comprehensibility, as well as successful applications"--해제Provided by publisher.
Subject Added Entry-Topical Term  
Multiple comparisons (Statistics)
Subject Added Entry-Topical Term  
Set theory
Subject Added Entry-Topical Term  
Mathematical analysis
Subject Added Entry-Topical Term  
BUSINESS & ECONOMICS / Statistics.
Subject Added Entry-Topical Term  
COMPUTERS / Database Management / Data Mining.
Subject Added Entry-Topical Term  
COMPUTERS / Machine Theory.
Subject Added Entry-Topical Term  
MATHEMATICS / Probability & Statistics / Multivariate Analysis.
Additional Physical Form Entry  
Print VersionZhou, Zhi-Hua, Ph. D. Ensemble methods. Boca Raton, FL : Taylor & Francis, 2012 9781439830031 (DLC) 2012014555 (OCoLC)449889669
Series Added Entry-Uniform Title  
Chapman & Hall/CRC machine learning & pattern recognition series.
Electronic Location and Access  
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Control Number  
joongbu:397512
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