Vapnik and his collaborators proposed a useful algorithm: support vector machines, which can implement the structural risk minimization principle in statistical learning theory. This novel algorithm handles the classification problems successfully. Since then more attentions have been paid to statistical learning theory and support vector machines. The attractive research areas are to improve or modify support vector machines by optimization techniques, and to design the novel non-linear machine learning al...
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