TY  - BOOK
AU  - Zhou, Zhi-Hua,
TI  - Ensemble methods: foundations and algorithms 
T2  - Chapman & Hall/CRC machine learning & pattern recognition series
SN  - 9781439830031 (hardback)
U1  - 006.31 
PY  - 2012///
CY  - Boca Raton, FL
PB  - Taylor & Francis
KW  - Multiple comparisons (Statistics)
KW  - Set theory
KW  - Mathematical analysis
KW  - BUSINESS & ECONOMICS / Statistics
KW  -  bisacsh
KW  - COMPUTERS / Database Management / Data Mining
KW  - COMPUTERS / Machine Theory
N1  - Includes bibliographical references (p. 187-218) and index
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"--
ER  -