%0 Journal Article
%T Survey of Applying Support Vector Machines to Handle Large-scale Problems<br>支持向量机处理大规模问题算法综述
%A WEN Yi-min
%A WANG Yao-nan
%A LU Bao-liang
%A CHEN Yi-ming
%A <br>文益民
%A 王耀南
%A 吕宝粮
%A 陈义明
%J 计算机科学
%D 2009
%I 
%X Being applied to handling large-scale problems,support vector machines(SVMs) needs longer training time and larger memory.The paper analyzed the limitation of SVMs,classified the algorithms of applying SVMs to handle large-scale problems into seven types,and made profound and comprehensive analysis of each kind of algorithm.Moreover,some issues valuable for future exploration in this area were indicated and discussed.
%K Support vector machines
%K Large-scale problem
%K Machine learning<br>支持向量机
%K 大规模问题
%K 机器学习
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=DB8B0873695190E97B3DE63217B80FB9&yid=DE12191FBD62783C&vid=933658645952ED9F&iid=DF92D298D3FF1E6E&sid=A04140E723CB732E&eid=C5154311167311FE&journal_id=1002-137X&journal_name=计算机科学&referenced_num=1&reference_num=79