期刊
INFORMATION FUSION
卷 16, 期 -, 页码 3-17出版社
ELSEVIER
DOI: 10.1016/j.inffus.2013.04.006
关键词
Combined classifier; Multiple classifier system; Classifier ensemble; Classifier fusion; Hybrid classifier
资金
- Polish National Science Centre [N519 576638]
A current focus of intense research in pattern classification is the combination of several classifier systems, which can be built following either the same or different models and/or datasets building approaches. These systems perform information fusion of classification decisions at different levels overcoming limitations of traditional approaches based on single classifiers. This paper presents an up-to-date survey on multiple classifier system (MCS) from the point of view of Hybrid Intelligent Systems. The article discusses major issues, such as diversity and decision fusion methods, providing a vision of the spectrum of applications that are currently being developed. (C) 2013 Elsevier B.V. All rights reserved.
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