DocumentCode :
11243
Title :
Ensemble Methods: Foundations and Algorithms [Book Review]
Author :
Schwenker, Friedhelm
Author_Institution :
Ulm University, GERMANY
Volume :
8
Issue :
1
fYear :
2013
fDate :
Feb. 2013
Firstpage :
77
Lastpage :
79
Abstract :
This monograph is a valuable contribution to theoretical and practical ensemble learning. The material is very well-presented, preliminaries and basic knowledge are discussed in detail, many illustrations and pseudo-code tables help to understand the facts of this interesting field of research. The book will become a helpful tool for practitioners working in the field of machine learning or pattern recognition as well as for students of engineering or computer sciences at the graduate and postgraduate level.
Keywords :
Algorithm design and analysis; Book reviews; Classification algorithms; Clustering algorithms; Machine learning algorithms; Supervised learning;
fLanguage :
English
Journal_Title :
Computational Intelligence Magazine, IEEE
Publisher :
ieee
ISSN :
1556-603X
Type :
jour
DOI :
10.1109/MCI.2012.2228600
Filename :
6410720
Link To Document :
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