Abstract: A structure learning method of Bayesian network is presented to solve the problem of structure learning with uncertain prior information.A description method of the uncertain prior information is given.An improved MDL score method named SMDL is proposed to fuse the prior information in learning process.Simulated annealing method is used to solve the problem.This method is validated by experiments.

摘要： 针对先验信息不确定条件下的贝叶斯网络学习问题，提出了一种非确定先验结构信息贝叶斯网络的结构学习方法。主要在以下几个方面开展了工作：提出了一种贝叶斯网络结构的不确定先验信息表示方法；改进了MDL测度，提出了SMDL测度，使之能在学习过程中考虑先验信息的不确定性；基于模拟退火算法，对问题进行求解。最后通过实验对算法的可行性进行了验证。