Dynamic MMHC: A Local Search Algorithm for Dynamic Bayesian Network Structure Learning

@inproceedings{Trabelsi2013DynamicMA,
  title={Dynamic MMHC: A Local Search Algorithm for Dynamic Bayesian Network Structure Learning},
  author={Ghada Trabelsi and Philippe Leray and Mounir Ben Ayed and Adel M. Alimi},
  booktitle={IDA},
  year={2013}
}
Dynamic Bayesian networks (DBNs) are a class of probabilistic graphical models that has become a standard tool for modeling various stochastic time-varying phenomena. The temporal probabilistic graphical models as 2TBN are the most used and popular models for DBNs. Because of the complexity induced by adding the temporal dimension, DBN structure learning is a very complex task. Existing algorithms are adaptations of score-based BN structure learning algorithms but are often limited when the… CONTINUE READING