Description: This book introduces the support vector machine method is based on statistical learning theory, VC dimension and structural risk minimization theory based on the principle, according to the limited sample of information in the complexity of the model (ie, training samples of a specific learning accuracy) and learning capacity (ie, error-free samples to identify any capacity) to find the best compromise between, in order to obtain the best generalization ability.
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