Ensemble methods : foundations and algorithms / Zhi-Hua Zhou.

By:

Zhou, Zhi-Hua, Ph. D

Material type:

TextSeries: Chapman & Hall/CRC machine learning & pattern recognition seriesPublication details: Boca Raton, FL : Taylor & Francis, 2012.Description: xiv, 222 p. : ill. ; 25 cmISBN:

9781439830031 (hardback)

Subject(s):

DDC classification:

006.31 ZHO [ Shelf 73 ]

Summary: "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"-- Provided by publisher.

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Holdings
Cover image	Item type	Current library	Home library	Collection	Shelving location	Call number	Materials specified	Vol info	URL	Copy number	Status	Notes	Date due	Barcode	Item holds	Item hold queue priority	Course reserves
	Reference	Indian Institute Of Management, Shillong				006.31 ZHO [ Shelf 73 ] (Browse shelf(Opens below))					Not for loan			0011767

Includes bibliographical references (p. 187-218) and index.

"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"-- Provided by publisher.

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