%0 Journal Article
%T An Improved SMO Algorithm<br>一种改进的SMO算法
%A ZHANG Zhao HUANG Guo-Xing BAG Yu
%A <br>张召
%A 黄国兴
%A 鲍钰
%J 计算机科学
%D 2003
%I 
%X In this paper we have pointed out an important source of inefficiency in SMO algorithm that is caused by the operation with a single threshod value. We have suggested modifications of SMO algorithm that overcome the problem by efficiently maintaining and updating two threshold parameters. Our experiments show that these modifications speed up the SMO algorithm.
%K SVM
%K SMO
%K KKT condition<br>SMO算法
%K 支持向量机
%K 机器学习算法
%K 目标函数
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=E37077F36AB920F4&yid=D43C4A19B2EE3C0A&vid=340AC2BF8E7AB4FD&iid=5D311CA918CA9A03&sid=1F199509C0B6C4D6&eid=28F8B56DB6BEE30E&journal_id=1002-137X&journal_name=计算机科学&referenced_num=3&reference_num=6