Multi-class support vector machine

被引：0

作者：

Franc, V ^{[1
]}

Hlavác, V ^{[1
]}

机构：

[1] Czech Tech Univ, Ctr Machine Percept, Dept Cybernet, Fac Elect Engn, Prague 12135 13, Czech Republic

来源：

16TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOL II, PROCEEDINGS | 2002年

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

We propose a transformation from the multi-class SVM classification problem to the single-class SVM problem which is more convenient for optimization. The proposed transformation is based on simplifying the original problem and employing the Kesler construction which can be carried out by the use of properly defined kernel only. The experiments conducted indicate that the proposed method is comparable with the one-against-all decomposition solved by the state-of-the-art SMO algorithm.

引用

页码：236 / 239

页数：4

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