Case- and rule-based algorithms for the contextual pattern recognition problem

被引：0
|
作者：
Wozniak, M [1 ]
机构：
[1] Wroclaw Tech Univ, Chair Syst & Comp Networks, PL-50370 Wroclaw, Poland
来源：
COMPUTATIONAL SCIENCE AND ITS APPLICATIONS - ICCSA 2003, PT 1, PROCEEDINGS | 2003年 / 2667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 deals with the concept of information unification and its application to the contextual pattern recognition task. The concept of the recognition and the rule-based algorithm with learning, based on the probabilistic model is presented. The machine learning algorithm based on statistical tests for the recognition of controlled Markov chains is shown. Idea of information unification via transforming the expert rules into the learning set is derived.
引用
收藏
页码：89 / 98
页数：10
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