共 21 条
[21]
Williams CKI, 1997, ADV NEUR IN, V9, P295
The evidence framework applied to support vector machines
被引：110
作者：
Kwok, JTY
[1
]
机构：
[1] Hong Kong Baptist Univ, Dept Comp Sci, Hong Kong, Peoples R China
来源：
IEEE TRANSACTIONS ON NEURAL NETWORKS
|
2000年
/
11卷
/
05期
关键词：
Bayesian inference;
evidence framework;
support vector machine (SVM);
D O I：
10.1109/72.870047
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, we show that training of the support vector machine (SVM) can be interpreted as performing the level 1 inference of MacKay's evidence framework. We further on show that levels 2 and 3 of the evidence framework can also be applied to SVMs. This integration allows automatic adjustment of the regularization parameter and the kernel parameter to their near-optimal values, Moreover, it opens up a wealth of Bayesian tools for use with SVMs. Performance of this method is evaluated on both synthetic and real-world data sets.
引用
收藏
页码：1162 / 1173
页数：12
相关论文