Conditioning Graphs: Practical Structures for Inference in Bayesian Networks

Kevin Grant, Michael C. Horsch. Conditioning Graphs: Practical Structures for Inference in Bayesian Networks. In Shichao Zhang, Ray Jarvis, editors, AI 2005: Advances in Artificial Intelligence, 18th Australian Joint Conference on Artificial Intelligence, Sydney, Australia, December 5-9, 2005, Proceedings. Volume 3809 of Lecture Notes in Computer Science, pages 49-59, Springer, 2005. [doi]

@inproceedings{GrantH05,
  title = {Conditioning Graphs: Practical Structures for Inference in Bayesian Networks},
  author = {Kevin Grant and Michael C. Horsch},
  year = {2005},
  doi = {10.1007/11589990_8},
  url = {http://dx.doi.org/10.1007/11589990_8},
  tags = {graph-rewriting, C++, rewriting},
  researchr = {https://researchr.org/publication/GrantH05},
  cites = {0},
  citedby = {0},
  pages = {49-59},
  booktitle = {AI 2005: Advances in Artificial Intelligence, 18th Australian Joint Conference on Artificial Intelligence, Sydney, Australia, December 5-9, 2005, Proceedings},
  editor = {Shichao Zhang and Ray Jarvis},
  volume = {3809},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {3-540-30462-2},
}