%0 Journal Article
%T New Algorithm NDR-SVM to Improve Accuracy<br>一种提高分类精度的支持向量机NDR-SVM
%A LIANG Jin-jin LIU San-yang
%A <br>梁锦锦
%A 刘三阳
%J 计算机科学
%D 2008
%I 
%X A new algorithm based on neighbor domain rate NDR-SVM is proposed.Construct a neighbor domain for each point in the training set.Figure out the ratio of samples in this sphere,which has the same label with its center, and reserve or delete its center according to the relationship between the ratio and the eliminating range.Then the re- mained are used for SVM classification.Through pruning the training set,the proposed algorithm decreases the effects of noises on the generalization ability of SVM.Numerical ...
%K SVM
%K Neighbor domain rate
%K Noises
%K Prune<br>支持向量机
%K 近邻域比率
%K 噪声
%K 修剪
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=E46FA2D4C2D13049BC899265B0FFB934&yid=67289AFF6305E306&vid=6209D9E8050195F5&iid=94C357A881DFC066&sid=ED01F5AE50BE09C0&eid=BBF7D98F9BEDEC74&journal_id=1002-137X&journal_name=计算机科学&referenced_num=0&reference_num=7