ML Anthology

Context-Specific Sign-Propagation in Qualitative Probabilistic Networks

Silja Renooij, Simon Parsons, Linda C. van der Gaag
IJCAI 2001 pp. 667-672
doi:10.1016/S0004-3702(02)00247-3 /ijcai/2001/renooij2001ijcai-context/

Abstract

Qualitative probabilistic networks are qualitative abstractions of probabilistic networks, summarising probabilistic influences by qualitative signs. As qualitative networks model influences at the level of variables, knowledge about probabilistic influences that hold only for specific values cannot be expressed. The results computed from a qualitative network, as a consequence, can be weaker than strictly necessary and may in fact be rather uninformative. We extend the basic formalism of qualitative probabilistic networks by providing for the inclusion of context-specific information about influences and show that exploiting this information upon reasoning has the ability to forestall unnecessarily weak results.

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Text

Renooij et al. "Context-Specific Sign-Propagation in Qualitative Probabilistic Networks." International Joint Conference on Artificial Intelligence, 2001. doi:10.1016/S0004-3702(02)00247-3

Markdown

[Renooij et al. "Context-Specific Sign-Propagation in Qualitative Probabilistic Networks." International Joint Conference on Artificial Intelligence, 2001.](https://mlanthology.org/ijcai/2001/renooij2001ijcai-context/) doi:10.1016/S0004-3702(02)00247-3

BibTeX

@inproceedings{renooij2001ijcai-context,
  title     = {{Context-Specific Sign-Propagation in Qualitative Probabilistic Networks}},
  author    = {Renooij, Silja and Parsons, Simon and van der Gaag, Linda C.},
  booktitle = {International Joint Conference on Artificial Intelligence},
  year      = {2001},
  pages     = {667-672},
  doi       = {10.1016/S0004-3702(02)00247-3},
  url       = {https://mlanthology.org/ijcai/2001/renooij2001ijcai-context/}
}