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- W1569872342 abstract "AbstractBased on the continuous wavelet transform theory and conditions of the admissible support vector kernel, a novel notion of multidimensional wavelet kernels is proposed for Least Squares Support Vector Machine (LS-WSVM) for pattern recognition and function estimation. Theoretic analysis of the wavelet kernel is discussed in detail. The good approximation property of wavelet kernel function enhances the generalization ability of LS-WSVM method and some experimental results are presented to illustrate the effectiveness and feasibility of the proposed method.KeywordsSupport Vector MachineSupport Vector RegressionWavelet FunctionLittle Square Support Vector MachineReproduce Kernel Hilbert SpaceThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves." @default.
- W1569872342 created "2016-06-24" @default.
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- W1569872342 date "2005-01-01" @default.
- W1569872342 modified "2023-09-23" @default.
- W1569872342 title "Least Squares Support Vector Machine Based on Continuous Wavelet Kernel" @default.
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- W1569872342 doi "https://doi.org/10.1007/11427391_135" @default.
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