Who Learns Better Bayesian Network Structures: Constraint-Based, Score-based or Hybrid Algorithms?

Marco Scutari, Catharina Elisabeth Graafland, José Manuel Gutiérrez. Who Learns Better Bayesian Network Structures: Constraint-Based, Score-based or Hybrid Algorithms?. In Milan Studený, Václav Kratochvíl, editors, International Conference on Probabilistic Graphical Models, PGM 2018, 11-14 September 2018, Prague, Czech Republic. Volume 72 of Proceedings of Machine Learning Research, pages 416-427, PMLR, 2018. [doi]

@inproceedings{ScutariGG18,
  title = {Who Learns Better Bayesian Network Structures: Constraint-Based, Score-based or Hybrid Algorithms?},
  author = {Marco Scutari and Catharina Elisabeth Graafland and José Manuel Gutiérrez},
  year = {2018},
  url = {http://proceedings.mlr.press/v72/scutari18a.html},
  researchr = {https://researchr.org/publication/ScutariGG18},
  cites = {0},
  citedby = {0},
  pages = {416-427},
  booktitle = {International Conference on Probabilistic Graphical Models, PGM 2018, 11-14 September 2018, Prague, Czech Republic},
  editor = {Milan Studený and Václav Kratochvíl},
  volume = {72},
  series = {Proceedings of Machine Learning Research},
  publisher = {PMLR},
}