Support vector machine Support vector machine is Jianli statistical learning theory of VC dimension theory and structural risk minimization principle based on the, based on a limited sample of the information in the model complexity (ie, specific training samples, learning accuracy) and learning Neng Li ( that is error-free samples to identify any capacity) to find the best compromise between, in order to obtain the best generalization ability

mf.doc

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