One Improvement Model Based on Least Squares Weighted Support Vector Machines

被引：0

作者：

He, Xing-shi ^{[1
]}

Wang, Juan ^{[1
]}

Zhao, Fei-jun ^{[1
]}

Liu, Hong ^{[1
]}

机构：

[1] Xian Polytech Univ, Sch Sci, Xian, Shanxi, Peoples R China

来源：

2010 INTERNATIONAL CONFERENCE ON MANAGEMENT SCIENCE AND ENGINEERING (MSE 2010), VOL 3 | 2010年

关键词：

least squares support vector machines; Weight support vector machines; Uneven samples; cost of misclassification;

D O I：

暂无

中图分类号：

C93 [管理学]; O22 [运筹学];

学科分类号：

070105 ; 12 ; 1201 ; 1202 ; 120202 ;

摘要：

With the aid of extension distinction method, introduction interrelatedness, one improvement classifying algorithm based on least squares support vector machines is proposed for the problem of classification with uneven samples. Simultaneously considered that cost of misclassification to the classification the influence. Experimental results show that the method is feasible.

引用

页码：406 / 409

页数：4

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