%0 Journal Article
%T Boundary Nearest Support Vector Machines<br>边界邻近支持向量机
%A FENG Guo-he
%A LI Yong-jun
%A ZHU Si-ming
%A <br>奉国和
%A 李拥军
%A 朱思铭
%J 计算机应用研究
%D 2006
%I 
%X Training a support vector machines on a data set of huge size exists one problem with slow training process. We use a modified support vector machines-boundary nearest support vector machines to resolve this problem and it speeds up the training process fastly comparing with conventional support vector machines under the same classification result.
%K Statistiacal Learning Theory
%K Support Vector Machine
%K Large-Scale Samples
%K Classification<br>统计学习理论
%K 支持向量机
%K 大样本
%K 分类
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=FC214F0E54E2AB91&yid=37904DC365DD7266&vid=EA389574707BDED3&iid=E158A972A605785F&sid=708DD6B15D2464E8&eid=59906B3B2830C2C5&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=6&reference_num=7