Description: 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
To Search:
File list (Check if you may need any files):
mf.doc
Download