Efficient Structure Learning of Bayesian Networks using Constraints

@article{Campos2011EfficientSL,
  title={Efficient Structure Learning of Bayesian Networks using Constraints},
  author={Cassio Polpo de Campos and Qiang Ji},
  journal={Journal of Machine Learning Research},
  year={2011},
  volume={12},
  pages={663-689}
}
This paper addresses the problem of learning Bayesian netwo rk structures from data based on score functions that are decomposable. It describes properties t hat s rongly reduce the time and memory costs of many known methods without losing global optimalit y guarantees. These properties are derived for different score criteria such as Minimum Descri ption Length (or Bayesian Information Criterion), Akaike Information Criterion and Bayesian Dir ichlet Criterion. Then a branch-andbound algorithm… CONTINUE READING
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