Ensemble methods foundations and algorithms /
"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 ensembl...
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| Format: | Electronic |
| Language: | English |
| Published: |
Boca Raton, Fla. :
CRC Press,
2012.
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| Series: | Chapman & Hall/CRC machine learning & pattern recognition series.
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| Subjects: | |
| Online Access: | View fulltext via EzAccess |
| 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"-- |
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| Item Description: | "A Chapman & Hall book." |
| Physical Description: | xiv, 222 p. : ill. Also available in print edition. |
| Format: | Mode of access: World Wide Web. |
| Bibliography: | Includes bibliographical references (p. 187-218) and index. |
| ISBN: | 9781439830055 (e-book : PDF) |