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As for semi-supervised learning, it is an important field of artificial intelligence research, how to make full use of unlabeled data to improve the generalization performance of classifier is a hot and difficult issue in machine learning. Active learning can effectively utilize unlabeled data, and it is introduced to semi- supervised classification, and improved Bayesian algorithm. Combination of active learning and semi-supervised learning based on improved Bayesian algorithm was proposed in this paper. Experimental results show that the algorithm is effective and feasible.