Making Continuous Time Bayesian Networks More Flexible

Manxia Liu, Fabio Stella, Arjen Hommersom, Peter J. F. Lucas. Making Continuous Time Bayesian Networks More Flexible. 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 237-248, PMLR, 2018. [doi]

@inproceedings{LiuSHL18-1,
  title = {Making Continuous Time Bayesian Networks More Flexible},
  author = {Manxia Liu and Fabio Stella and Arjen Hommersom and Peter J. F. Lucas},
  year = {2018},
  url = {http://proceedings.mlr.press/v72/liu18a.html},
  researchr = {https://researchr.org/publication/LiuSHL18-1},
  cites = {0},
  citedby = {0},
  pages = {237-248},
  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},
}