Using Wolfe's Method in Support Vector Machines Learning Stage

被引：0

作者：

Frausto-Solis, Juan ^{[1
]}

Gonzalez-Mendoza, Miguel ^{[1
]}

Lopez-Diaz, Roberto ^{[1
]}

机构：

[1] Inst Tecnol Estudios Super Monterrey, Monterrey, Mexico

来源：

MICAI 2009: ADVANCES IN ARTIFICIAL INTELLIGENCE, PROCEEDINGS | 2009年 / 5845卷

关键词：

Support Vector Machine; Classification; Simplex Method; Wolfe's Method;

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：

In this paper, the application of Wolfe's method in Support Vector Machines learning stage is presented. This stage is usually performed by solving a quadratic programming problem and a common approach for solving it, is breaking down that problem in smaller subproblems easier to solve and manage. In this manner, instead of dividing the problem, the application of Wolfe's method is proposed. The method transforms a quadratic programming problem into an Equivalent Linear Model and uses a variation of simplex method employed in linear programming. The proposed approach is compared against QuadProg Mat lab function used to solve quadratic programming problems. Experimental results show that the proposed approach has better quality of classification compared with that function.

引用

页码：488 / 499

页数：12

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