Support Vector Classification Using Hypersphere

摘要：

A new classification using support vectors is presented. Support Vector Machines that learn classification problem are specific to use hyperplane. We propose a novel approach which contains support vectors describing the hypersphere to separates the samples. We also generalize it in multi-class classification phrase. The experiment results on UCI daiascts are presented.

作者: Xin Dong Wu Zhaohui Pan Yunhe

作者单位: Department of Computer Science and Engineering, Zhejiang University, 310027, Hangzhou

会议类型: 国际会议

会议名称: 8th International Conference on Neural Information Processing(ICONIP 2001)(第八届国际神经信息处理大会)

会议地点: 上海

会议语种:英文

页码: 918-920

在线出版日期: 2001-11-14（万方平台首次上网日期，不代表论文的发表时间）