期刊
NEUROCOMPUTING
卷 67, 期 -, 页码 357-362出版社
ELSEVIER
DOI: 10.1016/j.neucom.2004.12.008
关键词
weighted maximum margin criterion; kernel-based learning algorithms; kernel discriminant analysis
A new kernel-based learning algorithm, called kernel weighted maximum margin discriminant analysis (KWMMDA), is presented in this paper. Different from the previous discriminant analysis algorithms based on the traditional Fisher discriminant criterion, KWMMDA is derived based on a new discriminant criterion, called weighted maximum margin criterion (WMMC). The better performance of KWMMDA is demonstrated by experiments on real data set. (c) 2005 Elsevier B.V. All rights reserved.
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