%0 Journal Article
%T Study on the Web Classification Based on Proximal Support Vector Machine<br>基于近似支持向量机的Web文本分类研究
%A ZHONG Jiang
%A WEN Luo-Sheng
%A FENG Yong
%A YE Chun-Xiao
%A LI Zhi-Guo
%A <br>钟将
%A 温罗生
%A 冯永
%A 叶春晓
%A 李志国
%J 计算机科学
%D 2008
%I 
%X Classification of the documents is a very important task. Based on the proximal support vector machines (PSVM) classification method could solve classification problem with small training set,without too much loss of classification accuracy. This paper describes a new PSVM training algorithm based on descending dimension methods,which has faster training speed and smaller memory requirements advantages. Finally we apply the method to solve text classification problem. Experiments results show that the new c...
%K Text classification
%K Proximal support vector machines
%K Quadratic programming
%K Descending dimension algorithm<br>文本分类
%K 近似支持向量机
%K 二次规化
%K 降维算法
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=77E79C2BE85FAB6A705B65A33425DAC5&yid=67289AFF6305E306&vid=6209D9E8050195F5&iid=38B194292C032A66&sid=ED01F5AE50BE09C0&eid=954CE65414DD94CA&journal_id=1002-137X&journal_name=计算机科学&referenced_num=0&reference_num=8