%0 Journal Article
%T Hybrid Heuristic for Learning Bayesian Network with Missing Values<br>数据缺失下学习贝叶斯网的一种混合启发方法
%A LIAO Xue-qing LU Qiang
%A <br>廖学清
%A 吕强
%J 计算机科学
%D 2008
%I 
%X Presented an efficient hybrid heuristic SGS-EM-PACOB algorithm for learning Bayesian network with mi-ssing values.It is based on scoring and searching method by using GS and EM data completion policies to attain statistic information,which is essential in learning Bayesian network.SGS-EM-PACOB algorithm combines these two policies for PACOB,an excellent parallel ant colony heuristic for learning bayesian network with complete dataset.The experiments showed SGS-EM-PACOB algorithm fully out-performed both GS ...
%K Learning bayesian network
%K Data completion policy
%K Hybrid heuristic<br>学习贝叶斯网
%K 数据补全策略
%K 混合启发
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=0C6125E1F69F8C16E3D920AE6B7E6FC8&yid=67289AFF6305E306&vid=6209D9E8050195F5&iid=59906B3B2830C2C5&sid=D5C9DC4EF2F78008&eid=43608FD2E15CD61B&journal_id=1002-137X&journal_name=计算机科学&referenced_num=0&reference_num=17