An Improved Method for Multi-class Support Vector Machines

摘要：

Based on analyzing the advantages and disadvantages of existing multi-class support vector machines, we construct an improved multi-class support vector machines based on binary tree structure, and adopt a new metrics to determine the classification order which determines each sub classifier and its location. The new metrics synthesizes mixed degree and distance between classes. Then a measuring experiment is done by using the improved multi-class support vector machines, which identifies five major P2P IPTV applications. The results show that our method is better than one-against-all and one-against-one method.

关键词： multi-dass SVM distance mixed degree binary tree P2P IPTV measuring

作者: Chaobin Liu Yuexiang Yang Chuan Tang

作者单位: School of Computer Science, National University of Defense Technology, Changsha, Hunan, 410073, Chin Information Center, National University of Defense Technology, Changsha, Hunan, 410073, China

会议类型: 国际会议

会议名称: 2010 International Conference on Measuring Technology and Mechatronics Automation(ICMTMA 2010)(2010年检测技术与机电自动化国际会议)

会议地点: 长沙

会议语种:英文

页码: 504-508

在线出版日期: 2010-03-13（万方平台首次上网日期，不代表论文的发表时间）