广西师范大学学报（自然科学版）2006，Vol.24Issue(4)：99-102,4.
半监督学习贝叶斯分类
Semisupervised Learning of Bayesian Classification
摘要
Abstract
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.关键词
贝叶斯方法/半监督学习/EM算法Key words
Bayesian approach/semisupervised learning/EM分类
信息技术与安全科学引用本文复制引用
孔怡青,王士同..半监督学习贝叶斯分类[J].广西师范大学学报（自然科学版）,2006,24(4):99-102,4.基金项目
New Century Outstanding Young Scholar Grant （NCET-04-0496） （）
