%0 Journal Article
%T Relevance Feedback Algorithm Based on Memory Support Vector Machines<br>基于记忆的SVM相关反馈算法
%A SUN Shu-liang
%A LIN Xue-yun
%A <br>孙树亮
%A 林雪云
%J 计算机科学
%D 2011
%I 
%X Support vector machine(SVM) is based on the minimum of structure risk and used for small samples in ma- chine learning. Memory support vector machine(MSVM) feedback is based on SVM and used cumulation samples repla- cing feedback samples by memory. It reduces the risk of recall vibration. MSVM feedback also proposes memory label which is used for lightening user's burden. MSVM feedback is proved its superiority by relevant experiments.
%K Support vector machine
%K Feedback
%K Memory labcl
%K Cumulation sample<br>支持向量机，反馈，记忆性标注，累积样本
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=17DDCED190714E793114361B143554B8&yid=9377ED8094509821&vid=16D8618C6164A3ED&iid=F3090AE9B60B7ED1&sid=80BD0A2EF8664214&eid=B799C1769FCACDC8&journal_id=1002-137X&journal_name=计算机科学&referenced_num=0&reference_num=0