A ROC-based reject rule for support vector machines

被引：0
|
作者：
Tortorella, F [1 ]
机构：
[1] Univ Cassino, Dipartimento Automaz Elettromagnet Ingn Informaz, Cassino, Italy
来源：
MACHINE LEARNING AND DATA MINING IN PATTERN RECOGNITION, PROCEEDINGS | 2003年 / 2734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：
This paper presents a novel reject rule for SVM classifiers, based on the Receiver Operating Characteristic curve. The rule minimizes the expected classification cost, defined on the basis of classification and error costs peculiar for the application at hand. Experiments performed with different kernels on several data sets publicly available confirmed the effectiveness of the proposed reject rule.
引用
收藏
页码：106 / 120
页数：15
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