Bayesian network with association rules applied in the Recognition of Handwritten Digits

被引：0
|
作者：
Zhao Wenqing [1 ]
Zhang Yanfang [1 ]
Zhang Shenglong [1 ]
机构：
[1] N China Elect Power Univ, Dept Comp, Baoding 071003, Hebei Province, Peoples R China
来源：
SPORTS MATERIALS, MODELLING AND SIMULATION | 2011年 / 187卷
关键词：
Handwritten numeral recognition; Association rules; Bayesian network classifier;
D O I：
10.4028/www.scientific.net/AMR.187.7
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Classification Based on Association (CBA) algorithm built a classifier based on the association rules, but without considering the uncertainty in the classification problem. This paper proposed a Bayesian network classifier based on the association rules. The algorithm extracts the candidate set uses association rules and classification algorithms related to the network, then uses "greedy hill-climbing algorithm" to learn network structure to get a better topology, and verify that this algorithm is valid on handwritten numeral recognition.
引用
收藏
页码：7 / 12
页数：6
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