Boosting cost-sensitive trees

被引：0

作者：

Ting, KM ^{[1
]}

Zheng, ZJ ^{[1
]}

机构：

[1] Deakin Univ, Sch Comp & Math, Geelong, Vic 3168, Australia

来源：

DISCOVERY SCIENCE | 1998年 / 1532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 explores two techniques for boosting cost-sensitive trees. The two techniques differ in whether the misclassification cost information is utilized during training. We demonstrate that each of these techniques is good at different aspects of cost-sensitive classifications. We also show that both techniques provide a means to overcome the weaknesses of their base cost-sensitive tree induction algorithm.

引用

页码：244 / 255

页数：12

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