A graph partitioning approach for Bayesian Network structure learning

@article{Shuohao2014AGP,
  title={A graph partitioning approach for Bayesian Network structure learning},
  author={Li Shuohao and Zhang Guo Jun and Huang Kuihua and Gao Chenxu},
  journal={Proceedings of the 33rd Chinese Control Conference},
  year={2014},
  pages={2887-2892}
}
Structure learning of Bayesian Network is one of important topics in machine learning and widely applied in expert system. The traditional algorithms for structure learning are usually focused on the entire nodes in BN. It is difficult to learn the structure efficiently from the huge amounts of data. In reality, BN as a special inference network and the community also exists in BN. To achieve this goal, we propose Graph Partitioning Approach for BN Structure Learning. Firstly, we get the… CONTINUE READING