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Weighted maximum margin discriminant analysis with kernels
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DOI：10.1016/j.neucom.2004.12.008.png)
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摘要
En 中文
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.
Keyword:
weighted maximum margin criterion
kernel-based learning algorithms
kernel discriminant analysis
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期刊
IF:
6.5
论文数:
2.5W
被引数:
6.5W
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