β_SVM a new Support Vector Machine kernel

被引：0
|
作者：
Hamdani, TM [1 ]
Alimi, AM [1 ]
机构：
[1] Univ Sfax, ENIS, Res Grp Intelligent Machines, Sfax, Tunisia
来源：
ARTIFICIAL NEURAL NETS AND GENETIC ALGORITHMS, PROCEEDINGS | 2003年
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：
Support Vector Machine is a statistical learning machine developed by Vapnik in his statistical learning theory. This machine present very interesting proprieties in both classification and regression problems in the high dimensional space. In this paper, we propose beta_SVM, a new kernel function for SVM, with special proprieties and high discrimination ability. We have applied this kernel in the pattern recognition, and we have compare the different performances of many other kernels, results show that the new kernel is very performant.
引用
收藏
页码：63 / 68
页数：6
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