%0 Journal Article
%T Improved polynomial SVM classifier for text categorization<br>一种改进的多项式核支持向量机文本分类器 *
%A XIONG Zhong-yang
%A JIANG Fan
%A ZHANG Yu-fang
%A LI ZHI-xing
%A <br>熊忠阳
%A 江 帆
%A 张玉芳
%A 李智星
%J 计算机应用研究
%D 2009
%I 
%X Polynomial kernel is investigated and widely used for text categorization because of it's high generalization perfor-mance.For the polynomial kernel low study performance's fault,this paper combined conditionally positive definite kernel which had high study performance with polynomial kernel as an improved polynomial kernel.The experiment results show that the improved polynomial kernel SVM classifier for text categorization is superior to polynomial kernel SVM classifier for text categorization.
%K SVM
%K polynomial kernel
%K conditionally positive definite kernel
%K text categorization<br>支持向量机
%K 多项式核
%K 条件正定核
%K 文本分类
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=2FA212DC837B4245FD762342B6B1AE9D&yid=DE12191FBD62783C&vid=96C778EE049EE47D&iid=5D311CA918CA9A03&sid=5F4AD52C62302668&eid=8B7EC6C4FFE89175&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=9