%0 Journal Article
%T Feature Selection Based on Classes Margin<br>基于分类间隔的特征选择算法
%A REN Shuang-Qiao
%A FU Yao-Wen
%A LI Xiang
%A ZHUANG Zhao-Wen
%A <br>任双桥
%A 傅耀文
%A 黎湘
%A 庄钊文
%J 软件学报
%D 2008
%I 
%X Firstly,a distinguishable condition is proposed for separating the features by linear classification hyper surface.Secondly,the paper analyses the properties of the feature linear distinguishable criterion based on support vector machines(SVMs).Finally,the efficiency rate of features are defined by the contribution to classes margin of each feature,and a feature selection algorithm is put forward based on the feature efficiency rate.As experimental results show,validated with the actually measuring data and UCI(University of California,Irvine)data, performance of the new feature selection method,such as classification capability and generalized capability are improved obviously in contrast to the classical Relief method.
%K feature selection
%K efficiency rate
%K classe margin
%K SVM (support vector machine)<br>特征选择
%K 有效率
%K 分类间隔
%K 支撑矢量机
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=7735F413D429542E610B3D6AC0D5EC59&aid=CF1BDDC1CEBDD423FB8D3935A433A632&yid=67289AFF6305E306&vid=2A8D03AD8076A2E3&iid=E158A972A605785F&sid=043C7D0F3F6AC1B3&eid=138D3449C4A7D4E9&journal_id=1000-9825&journal_name=软件学报&referenced_num=0&reference_num=18