Semigraphoids Are Two-Antecedental Approximations of Stochastic Conditional Independence Models

Milan Studený. Semigraphoids Are Two-Antecedental Approximations of Stochastic Conditional Independence Models. In Ramon López de Mántaras, David Poole, editors, UAI 94: Proceedings of the Tenth Annual Conference on Uncertainty in Artificial Intelligence, July 29-31, 1994, Seattle, Washington, USA. pages 546-552, Morgan Kaufmann, 1994. [doi]

@inproceedings{Studeny94:0,
  title = {Semigraphoids Are Two-Antecedental Approximations of Stochastic Conditional Independence Models},
  author = {Milan Studený},
  year = {1994},
  url = {http://rome.exp.sis.pitt.edu/UAI/Abstract.asp?articleID=548&proceedingID=10},
  researchr = {https://researchr.org/publication/Studeny94%3A0},
  cites = {0},
  citedby = {0},
  pages = {546-552},
  booktitle = {UAI  94: Proceedings of the Tenth Annual Conference on Uncertainty in Artificial Intelligence, July 29-31, 1994, Seattle, Washington, USA},
  editor = {Ramon López de Mántaras and David Poole},
  publisher = {Morgan Kaufmann},
}