%0 Journal Article
%T Learning Bayesian network classifier based on prediction ability<br>基于预测能力的贝叶斯网络分类器学习*
%A ZHANG Jian-fei
%A WANG Hui
%A WANG Shuang-cheng
%A <br>张剑飞
%A 王辉
%A 王双成
%J 计算机应用研究
%D 2007
%I 
%X This paper analyzed representative Bayesian classifiers, gave concept and estimating methods of prediction ability between variables, presented a new learning method of the Bayesian network classifier based prediction ability, finished experiment by data from UCI. Experimental results show that the structure of the Bayesian network classifier learned by this method is simpler and has better classifying ability.
%K Bayesian network
%K classifier
%K prediction ability<br>贝叶斯网络
%K 分类器
%K 预测能力
%K 预测能力
%K 贝叶斯
%K 网络分类器
%K 结构学习
%K ability
%K prediction
%K based
%K classifier
%K Bayesian
%K network
%K 分类能力
%K 倾向
%K 显示
%K 结果
%K 类实验
%K 数据
%K 使用
%K 估计方法
%K 力的概念
%K 变量
%K 代表
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=C793235A4E87B8F6869A05513268477D&yid=A732AF04DDA03BB3&vid=B91E8C6D6FE990DB&iid=5D311CA918CA9A03&sid=771152D1ADC1C0EB&eid=286FB2D22CF8D013&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=9