Precision of Multi-class Classification Methods for Support Vector Machines

被引:0
|
作者
Li, Honglian [1 ]
Jiao, Ruili [1 ]
Fan, Jing [1 ]
机构
[1] Beijing Informat Sci & Technol Univ, Inst Opt & Elect Informat & Commun Engn, Dept Elect Informat Engn, Beijing 100101, Peoples R China
关键词
Support Vector Machines; Multi-class Classification; Classification Precision;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
A single support vector machines can only deal with binary-class classification. In the face of multi-class classification task, we usually combine multi-support vector machines together, strategies include one-against-one, one-against-the-rest and Binary Tree, etc. Previously precisions of these classification methods are drawn from experiments. In this paper we propose precision formulae of one-against-the-rest and Binary Tree classification methods, experiments show our conclusions are convincing.
引用
收藏
页码:1517 / 1520
页数:4
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