Support vector machine is a novel machine learning method, mainly for pattern recognition, regression, function approximation, parameter estimation. Compared with other learning methods, support vector machines not only to overcome the nonlinear and local minima, and the curse of dimensionality, but also has better generalization ability.

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svm_wenxian

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