A Hierarchical multiple classifier learning algorithm

被引：0
|
作者：
Chou, YY [1 ]
Shapiro, LG [1 ]
机构：
[1] Univ Washington, Dept Elect Engn, Seattle, WA 98195 USA
来源：
15TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOL 2, PROCEEDINGS: PATTERN RECOGNITION AND NEURAL NETWORKS | 2000年
关键词：
multiple classifier; data clustering; machine learning;
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：
In this paper we describe a new hierarchical multiple classifier learning algorithm that was developed to provide a tool for classifier construction in medical applications. The new mechanism uses data clustering and sub-class labeling to reduce the overhead of training and enhance the classification accuracy. The results of using this method are compared to a hand-built classifier and to other multiple classifier algorithms.
引用
收藏
页码：152 / 155
页数：2
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