Computer Science ›› 2007, Vol. 34 ›› Issue (4): 163-165.
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Abstract: It is proved that under Hilbert space separable variables function can satisfy condition of Mercer theorem as kernel function to provide a new method in selecting new kernel function of nonlinear calssification machines based on support vector machine. Co
Key words: Separable variables function, Kernel function, Classification algorithm
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