%0 Journal Article
%T Study on the Optimization of the Bandwidth of the Kernel Function for Kernel Discrimination<br>核密度估计在分类问题中带宽参数的优化研究
%A LI Ze-zhong BAI Yong
%A <br>李泽中
%A 白勇
%J 计算机科学
%D 2009
%I 
%X Kernel density estimation can be used to estimate the conditional class probability density functions and the key problem is to choose the bandwidth of the kernel.In this study,a method that the bandwidth is optimized through maximizing the area under the Receiver Operating Characteristic curve was proposed.Two classification systems called BKD and CKD,which are applicable to binary features and continuous features,respectively,were developed.The prediction accuracies for UCI Promoter dataset and UCI Diabet...
%K Bayes classifier
%K Kernel density estimation
%K Bandwidth parameter
%K ROC curve<br>贝叶斯分类器
%K 核密度估计
%K 带宽参数
%K 受试者特征曲线
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=530B90B80D389F0AE4AAF0B2A7B04486&yid=DE12191FBD62783C&vid=933658645952ED9F&iid=B31275AF3241DB2D&sid=B799C1769FCACDC8&eid=4D7D059FFBF006B9&journal_id=1002-137X&journal_name=计算机科学&referenced_num=0&reference_num=21