Wavelet support vector machine |
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| Authors: | Li Zhang Weida Zhou Licheng Jiao |
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| Affiliation: | National Key Laboratory for Radar Signal Processing, Xidian University, Xi'an, 710071, China. |
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| Abstract: | An admissible support vector (SV) kernel (the wavelet kernel), by which we can construct a wavelet support vector machine (SVM), is presented. The wavelet kernel is a kind of multidimensional wavelet function that can approximate arbitrary nonlinear functions. The existence of wavelet kernels is proven by results of theoretic analysis. Computer simulations show the feasibility and validity of wavelet support vector machines (WSVMs) in regression and pattern recognition. |
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