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《Journal of Beijing Union University》 2005-01
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Some Properties of Support Vector Machines Mercer's Nuclear

LIU Hua-fu (Department of Computer Science & Technology of Zhangsha University, Zhangsha410003,China)  
At present support vector machine has found applications in model classification. As for the undivided linear sample space, the kernel function is needed to map onto another high dimension linear space. Theoretically how to choose Kernel function remains unsolved. Therefore it is of great significance to study the properties of kernel function of support vector machine. For this reason, several important properties of kernel function are discussed on the basis of support vector machine.
【CateGory Index】: TP181
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