To learn a classifier,a semisupervised Bayesian approach is adopted.An EM algorithm is derived to compute maximum likelihood estimate.Experimental results demonstrate appropriate accuracy.

• 分类器的学习采用半监督贝叶斯方法；使用EM算法求解最大似然估计；实验结果表明能够获得较好的结果.