| 摘要 |
A re-learning method includes: a step of learning an SVM by using a set of training samples for initial learning which have known labels; a step of perturbation-processing the training samples for initial learning; a step of using the perturbation-processed sample as a training sample for addition; and a step of re-learning the learned SVM by using the training sample for initial learning and the training sample for addition. For the training samples for initial learning to be perturbation-processed, a training sample obtained by removing a training sample for initial learning corresponding to a non-support vector, a training sample corresponding to a support vector existing on a soft margin hyperplane, etc., may be used.
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