%0 Journal Article
%T Learning Bayesian Network Structure<br>贝叶斯网络结构学习分析
%A 王双成
%A 林士敏
%J 计算机科学
%D 2000
%I 
%X In this paper the analysis of principle and process of Bayesian network structure learning is given. Bayesian network structure learning is a process that seeks the best network structure fitting the prior knowledge and data. The computing of posterior can be closed when data are completed and some other conditions are satisfied ,while the computing is not closed when some data are missing. One solution for missing data is fill-in methods,another is to approximate the likelihood of structure,then to compute the probabilities of structure.
%K Bayesian networks
%K Scoring function
%K Searching method<br>贝叶斯网络
%K 结构学习
%K 分析
%K 学习过程
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=E45A86E01E85FA02&yid=9806D0D4EAA9BED3&vid=DB817633AA4F79B9&iid=F3090AE9B60B7ED1&sid=E44E40A2398D4F2A&eid=9C65ADEB5990B252&journal_id=1002-137X&journal_name=计算机科学&referenced_num=5&reference_num=3