%0 Journal Article
%T The Extension of the Bayesian Network Based on Independence<br>Bayesian网的独立性推广模型
%A PENG Qing-song
%A ZHANG You-sheng
%A WANG Rong-gui
%A <br>彭青松
%A 张佑生
%A 汪荣贵
%J 计算机科学
%D 2005
%I 
%X The Bayesian can express the conditionally independence conveniently,but in appliactions it can't handle causally independence easily. The Noisy OR model can express causally independence well,but the limitation of the Noisy OR model blocks the widely use of itself. In this paper,we present the extension of the Bayesian Network based on independence. Our new model generalizes the Bayesian Networks to handle causally independence properly,and simplifies the conditionally probability table. Experimental results show the availability of our new model.
%K Bayesian networks
%K Noisy OR model
%K Conditionally independence
%K Causally independence<br>表示
%K 推广模型
%K 变量
%K 条件独立性
%K 条件概率
%K 简化
%K 扩展
%K Bayesian网
%K 地表
%K 实用性
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=70ED5BA5AA419CE7&yid=2DD7160C83D0ACED&vid=9971A5E270697F23&iid=0B39A22176CE99FB&sid=B1F98368A47B8888&eid=798FBE8DE1A255B1&journal_id=1002-137X&journal_name=计算机科学&referenced_num=0&reference_num=6