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Author:

卫保国 (卫保国.) | 王爱民 (王爱民.) | 沈兰荪 (沈兰荪.)

Indexed by:

CQVIP CSCD

Abstract:

两类支撑向量机(SVM)用于模式识别具有最优的推广能力.对于常见的多类识别问题,需要构造多类SVM.本文提出一种新的基于决策树的构造方法,由此构成的多类SVM(DTSVM),与现有的方法相比,具有更快的计算速度,适用于需处理样本数较多的识别问题.

Keyword:

模式识别 多类SVM 支撑向量机

Author Community:

  • [ 1 ] [卫保国]北京工业大学
  • [ 2 ] [王爱民]北京工业大学
  • [ 3 ] [沈兰荪]北京工业大学

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Source :

模式识别与人工智能

ISSN: 1003-6059

Year: 2002

Issue: 2

Volume: 15

Page: 178-181

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count: 42

Chinese Cited Count:

30 Days PV: 5

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