Efficient and sound evaluation when learning Bayesian networks in the space of orderings based on local methods

Juan Ignacio Alonso-Barba, Luis delaOssa, Jose Miguel Puerta. Efficient and sound evaluation when learning Bayesian networks in the space of orderings based on local methods. In Sebastián Ventura, Ajith Abraham, Krzysztof J. Cios, Cristóbal Romero, Francesco Marcelloni, José Manuel Benítez, Eva Lucrecia Gibaja Galindo, editors, 11th International Conference on Intelligent Systems Design and Applications, ISDA 2011, Córdoba, Spain, November 22-24, 2011. pages 611-618, IEEE, 2011. [doi]

@inproceedings{Alonso-BarbadP11-0,
  title = {Efficient and sound evaluation when learning Bayesian networks in the space of orderings based on local methods},
  author = {Juan Ignacio Alonso-Barba and Luis delaOssa and Jose Miguel Puerta},
  year = {2011},
  doi = {10.1109/ISDA.2011.6121723},
  url = {http://dx.doi.org/10.1109/ISDA.2011.6121723},
  researchr = {https://researchr.org/publication/Alonso-BarbadP11-0},
  cites = {0},
  citedby = {0},
  pages = {611-618},
  booktitle = {11th International Conference on Intelligent Systems Design and Applications, ISDA 2011, Córdoba, Spain, November 22-24, 2011},
  editor = {Sebastián Ventura and Ajith Abraham and Krzysztof J. Cios and Cristóbal Romero and Francesco Marcelloni and José Manuel Benítez and Eva Lucrecia Gibaja Galindo},
  publisher = {IEEE},
  isbn = {978-1-4577-1676-8},
}