%0 Journal Article
%T Research on Bayesian network structure learning algorithm for context-aware computing<br>面向上下文感知计算的贝叶斯网络结构自学习算法的研究
%A LI Rui
%A LI Shi-lun
%A <br>李蕊
%A 李仕伦
%J 计算机应用研究
%D 2010
%I 
%X By analyzing the characteristics of context in context-aware computing, this paper presented a generic context-aware computing-oriented algorithm for Bayesian network structure learning. With sufficient data the relationships between contexts could be found by the algorithm, and a Bayesian network structure used for context inference could be formed consequently. Theoretical and experimental results all show that the algorithm can find a Bayesian network structure similar with the optimal with affordable search time.
%K context-aware computing
%K Bayesian network
%K learning algorithm<br>上下文感知计算
%K 贝叶斯网络
%K 自学习
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=921FFED7C44299E8D9D686CF5B31B7E8&yid=140ECF96957D60B2&vid=DB817633AA4F79B9&iid=CA4FD0336C81A37A&sid=D767283A3B658885&eid=4DB1E72614E68564&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=15