关键词: 支持向量机, 半监督式学习, 算法.

Abstract: A Semi-supervised Learning algorithm Based on Support Vector Machine and by gradual approach has been put forward ,which train early Learner by a spot of labeled-data , adjust the scope selected unlabeled-data and control the direction adjusting the decision-function of the learner by means of a rule Selective-sampling and kernel parameter and reduce learning cost by deleting non-supportvector. Simulative experiments have shown that the algorithm may get good learning effect at less learning cost if only opportune threshold for selective sampling and kernel parameter are selected.

Key words: Support vector machine, semi-supervised Learning, algorithm.