Support vector machine as a novel machine learning method aimed at small samples is developed by Vapnik and others in the basis of statistical learning theory. Support vector machines are widely researched and applied for its advantage of strong generalization ability and convenient for high dimension data operation recently. Even though, the traditional classify methods based on the supervised learning can resolve many actual problems effectively, it have to label mass unlabeled data in order to get enough...
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