%0 Journal Article
%T Research of Support Vector Classifier Based on Neighborhood Rough Set<br>基于邻域粗糙集的支持向量机分类方法研究
%A HAN Hu
%A DANG Jian-wu
%A REN En-en
%A <br>韩虎
%A 党建武
%A 任恩恩
%J 计算机科学
%D 2010
%I 
%X Support vector machine can not directly deal with high dimension and large scale training set and it is sensitive to abnormal samples,an improved support vector classifier based on neighborhood rough set was proposed.In the paper,data preprocessing was done on training set from two different sides.On the one hand,neighborhood rough set was used to find these samples in boundary and obtain a reduced training set,at the same time,those abnormal samples which not only lead to over-learning but also decrease th...
%K Support vector machine
%K Neighborhood rough set
%K Preprocess
%K Attribute reduction<br>支持向量机
%K 邻域粗糙集
%K 预处理
%K 属性约简
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=F9194AEFA74BC9E7FFCD7418A70078D5&yid=140ECF96957D60B2&vid=42425781F0B1C26E&iid=0B39A22176CE99FB&sid=F8035C8B7D8A4264&eid=FA89360EB995A8AD&journal_id=1002-137X&journal_name=计算机科学&referenced_num=0&reference_num=14