A learning method for robust support vector machines

被引：0
|
作者：
Guo, J [1 ]
Takahashi, N [1 ]
Nishi, T [1 ]
机构：
[1] Kyushu Univ, Dept Comp Sci & Commun Engn, Higashi Ku, Fukuoka 8128581, Japan
来源：
ADVANCES IN NEURAL NETWORKS - ISNN 2004, PT 1 | 2004年 / 3173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：
We propose an innovative learning algorithm for a support vector machine to be robust. As learning patterns it uses not only the prescribed learning patterns but also their neighbour patterns. The size of the proposed optimization problem to be solved is the same as the original one. Many simulations show the effectiveness of the proposed algorithm.
引用
收藏
页码：474 / 479
页数：6
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