Bayesian network structure learning based on the chaotic particle swarm optimization algorithm.

@article{Zhang2013BayesianNS,
  title={Bayesian network structure learning based on the chaotic particle swarm optimization algorithm.},
  author={Qiang Zhang and Zhaowei Li and Changjun Zhou and Xin Peng Wei},
  journal={Genetics and molecular research : GMR},
  year={2013},
  volume={12 4},
  pages={4468-79}
}
The Bayesian network (BN) is a knowledge representation form, which has been proven to be valuable in the gene regulatory network reconstruction because of its capability of capturing causal relationships between genes. Learning BN structures from a database is a nondeterministic polynomial time (NP)-hard problem that remains one of the most exciting challenges in machine learning. Several heuristic searching techniques have been used to find better network structures. Among these algorithms… CONTINUE READING