%0 Journal Article
%T Research on Two Classes Text Categorization Method Based on an Improved Support Vector Machine<br>种基于改进的支持向量机的两类文本分类方法的研究*
%A Ying WeiWang ZhengouAn Jinlong
%A <br>应伟王正欧安金龙
%J 现代图书情报技术
%D 2005
%I 
%X This paper puts forward a method of two text categorization classes based on the pre-extracting support vectors and fuzzy circulated iterative algorithm.Compared with the conventional Support Vector Machines(SVM),the present method possesses much higher computation efficiency.This paper gives the concrete procedure of the algorithm,and applies it to the text classification.Experimental results demonstrate the effectiveness and the efficiency of the approach.
%K Text categorization Support Vector Machines(SVM) Pre-extracting support vectors Fuzzy circulated iterative algorithm<br>文本分类
%K 支持向量机
%K 预抽取向量
%K 模糊循环迭代算法
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=B5EDD921F3D863E289B22F36E70174A7007B5F5E43D63598017D41BB67247657&cid=E46382710BF131B2&jid=24AADBCD0D5373C73F37F78D10E2F717&aid=B8E0363829A6CFFF&yid=2DD7160C83D0ACED&vid=659D3B06EBF534A7&iid=59906B3B2830C2C5&sid=1AE5323881A5ECDC&eid=F4B561950EE1D31A&journal_id=1003-3513&journal_name=现代图书情报技术&referenced_num=0&reference_num=21