TY  - BOOK
AU  - Zhou,Zhi-Hua
TI  - Ensemble methods: foundations and algorithms 
T2  - Chapman & Hall/CRC machine learning & pattern recognition series
SN  - 9781439830055 (ebook : PDF)
PY  - 2012///
CY  - Boca Raton, Fla.
PB  - CRC Press
KW  - Multiple comparisons (Statistics)
KW  - Set theory
KW  - Mathematical analysis
KW  - Electronic books
KW  - lcsh
N1  - "A Chapman & Hall book."; Includes bibliographical references (p. 187-218) and index; 1. Introduction -- 2. Boosting -- 3. Bagging -- 4. Combination methods -- 5. Diversity -- 6. Ensemble pruning -- 7. Clustering ensembles -- 8. Advanced topics; Also available in print edition
N2  - "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"--
UR  - http://marc.crcnetbase.com/isbn/9781439830055
ER  -