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
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