Precision of Multi-class Classification Methods for Support Vector Machines

摘要：

A single support vector machines can only dealwith 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.

关键词： Support Vector Machines Multi-class Classification Classification Precision

作者: Honglian LI Ruili JIAO Jing FAN

作者单位: Department of Electronic Information Engineering,Institute of Optical and Electronic Information and Communication Engineering,Beijing Information Science and Technology University,Beijing 100101,China

会议类型: 国际会议

会议名称: 9th International Conference on Signal Processing(第九届国际信号处理学术会议)(ICSP08)

会议地点: 北京

会议语种:英文

在线出版日期: 2008-10-26（万方平台首次上网日期，不代表论文的发表时间）