%0 Journal Article
%T A Regression Method Based on the Support Vectors for Classification<br>基于支持向量机分类的回归方法
%A TAO Qing
%A CAO Jin-de
%A SUN De-min
%A <br>陶卿
%A 曹进德
%A 孙德敏
%J 软件学报
%D 2002
%I 
%X The support vector machine is a classification technique based on the structural risk minimization principle, and it is also a class of regression method with good generalization ability. In this paper, a new idea that each regression problem can be changed into a classification problem is presented. The proposed method has some theoretical foundations. Compared with SVM regression method, the geometric meaning of optimization problem in this paper is very clear and obvious.
%K regression
%K classification
%K support vector machines
%K maximal margin<br>回归
%K 分类
%K 支持向量
%K 最大边缘
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=7735F413D429542E610B3D6AC0D5EC59&aid=59CF1EBB351C20F5&yid=C3ACC247184A22C1&vid=FC0714F8D2EB605D&iid=94C357A881DFC066&sid=6A2E9D0F5619615A&eid=5CC11A326E54A79A&journal_id=1000-9825&journal_name=软件学报&referenced_num=22&reference_num=11