ML Anthology

Conditional Plausibility Measures and Bayesian Networks

Joseph Y. Halpern
UAI 2000 pp. 247-255
doi:10.1613/jair.817 /uai/2000/halpern2000uai-conditional/

Abstract

A general notion of algebraic conditional plausibility measures is defined. Probability measures, ranking functions, possibility measures, and (under the appropriate definitions) sets of probability measures can all be viewed as defining algebraic conditional plausibility measures. It is shown that algebraic conditional plausibility measures can be represented using Bayesian networks.

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Text

Halpern. "Conditional Plausibility Measures and Bayesian Networks." Conference on Uncertainty in Artificial Intelligence, 2000. doi:10.1613/jair.817

Markdown

[Halpern. "Conditional Plausibility Measures and Bayesian Networks." Conference on Uncertainty in Artificial Intelligence, 2000.](https://mlanthology.org/uai/2000/halpern2000uai-conditional/) doi:10.1613/jair.817

BibTeX

@inproceedings{halpern2000uai-conditional,
  title     = {{Conditional Plausibility Measures and Bayesian Networks}},
  author    = {Halpern, Joseph Y.},
  booktitle = {Conference on Uncertainty in Artificial Intelligence},
  year      = {2000},
  pages     = {247-255},
  doi       = {10.1613/jair.817},
  url       = {https://mlanthology.org/uai/2000/halpern2000uai-conditional/}
}