Generalized non-reducible descriptors

被引：0
|
作者：
Valev, V [1 ]
Sankur, B [1 ]
Radeva, P [1 ]
机构：
[1] St Louis Univ, Dept Comp Sci, Fac Sci, St Louis, MO 63156 USA
来源：
15TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOL 2, PROCEEDINGS: PATTERN RECOGNITION AND NEURAL NETWORKS | 2000年
关键词：
supervised pattern recognition; machine learning; descriptors; non-reducible descriptors; generalized non-reducible descriptors;
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 provide a generalization of non-reducible descriptors. Non-reducible descriptors are used in supervised pattern recognition problems when the pattern descriptions consist of Boolean variables. This generalization extends the concept of distance between patterns of different classes. A mathematical model to construct generalized non-reducible descriptors, a computational procedure, and numerical examples are discussed.
引用
收藏
页码：394 / 397
页数：2
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