Multi-category classification by least squares support vector regression

被引：0
|
作者：
Jiang, JQ
Wu, CG
Liang, YC [1 ]
机构：
[1] Jilin Univ, Coll Comp Sci & Technol, Key Lab Symbol Computat & Knowledge Engn, Minist Educ, Changchun 130012, Peoples R China
[2] Inner Mongolia Univ Nationalities, Coll Math & Comp Sci, Tongliao 028043, Peoples R China
来源：
ADVANCES IN NEURAL NETWORKS - ISNN 2005, PT 1, PROCEEDINGS | 2005年 / 3496卷
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：
Multi-category classification is a most interesting problem in the fields of pattern recognition. A one-step method is presented to deal with the multi-category problem. The proposed method converts the problem of classification to the function regression and is applied to solve the converted problem by least squares support vector machines. The novel method classifies the samples in all categories simultaneously only by solving a set of linear equations. Demonstrations of computer experiments are given and good performance is achieved in the simulations.
引用
收藏
页码：863 / 868
页数：6
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