Hybrid Heuristic for Learning Bayesian Network with Missing Values
数据缺失下学习贝叶斯网的一种混合启发方法

Presented an efficient hybrid heuristic SGS-EM-PACOB algorithm for learning Bayesian network with mi-ssing values.It is based on scoring and searching method by using GS and EM data completion policies to attain statistic information,which is essential in learning Bayesian network.SGS-EM-PACOB algorithm combines these two policies for PACOB,an excellent parallel ant colony heuristic for learning bayesian network with complete dataset.The experiments showed SGS-EM-PACOB algorithm fully out-performed both GS ...