Support Vector Machines with Continued Fraction Kernel

摘要：

Based on the proof of a series of Theorems,thispaper presents a new continued fraction Mercer kernel,which can be used in SVC algorithm and other SVMalgorithm.Experimental results show the SVCalgorithm with continued fraction kernel workssuccessfully on real data,and is competitive to theother existing simple kernels.Moreover,this kernelcan be used to combine relatively complex kernels suchas RBF applying kernel tricks easily.

作者: JingDong Tan RuJing Wang XiaoMing Zhang

作者单位: Laboratory of Intelligent Decision,Institute of Intelligent Machines,Chinese Academy of Science,Hefe Laboratory of Intelligent Decision,Institute of Intelligent Machines,Chinese Academy of Science,Hefe

会议类型: 国际会议

会议名称: 2008 3rd International Conference on Intelligent System and Knowledge Engineering(第三届智能系统与知识工程国际会议)(ISKE 2008)

会议地点: 厦门

会议语种:英文

页码: 963-967

在线出版日期: 2008-11-17（万方平台首次上网日期，不代表论文的发表时间）