%0 Journal Article %T A new SVM multiclass classification based on binary tree
一种新的基于二叉树的SVM多类分类方法 %A MENG Yuan-yuan %A LIU Xi-yu %A
孟媛媛 %A 刘希玉 %J 计算机应用 %D 2005 %I %X The problems and defections of the existing methods of SVM multi-class classification were analyzed.A multi-class classification based on binary tree was put forward.A modified self-organization map(SOM),KSOM(kernel-based SOM),was introduced to convert the multi-class problem into binary tress,in which the binary decisions were made by SVMs.The results show that it has higher multiclass classification accuracy than the multi-class SVM approaches with "one-versus-one" and "one-versus-the rest". %K multi-class classification %K support vector machine(SVM) %K binary tree %K Self-Organization Map(SOM)
多类分类 %K 支持向量机 %K 二叉树 %K 自组织映射 %U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=394B097F2A3DD408&yid=2DD7160C83D0ACED&vid=C5154311167311FE&iid=708DD6B15D2464E8&sid=1B1665F6502C32A4&eid=58BCF59F32F6148B&journal_id=1001-9081&journal_name=计算机应用&referenced_num=21&reference_num=7