ML Anthology

Approximate Inference in Probabilistic Graphical Models with Determinism

Vibhav Gogate
AAAI 2007 pp. 1927-1928
/aaai/2007/gogate2007aaai-approximate/

Abstract

In the proposed thesis, we study a special class of belief networks which contain both probabilistic and deterministic information. Deterministic information occurs as zero probabilities in the belief network. A majority of the work

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Text

Gogate. "Approximate Inference in Probabilistic Graphical Models with Determinism." AAAI Conference on Artificial Intelligence, 2007.

Markdown

[Gogate. "Approximate Inference in Probabilistic Graphical Models with Determinism." AAAI Conference on Artificial Intelligence, 2007.](https://mlanthology.org/aaai/2007/gogate2007aaai-approximate/)

BibTeX

@inproceedings{gogate2007aaai-approximate,
  title     = {{Approximate Inference in Probabilistic Graphical Models with Determinism}},
  author    = {Gogate, Vibhav},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2007},
  pages     = {1927-1928},
  url       = {https://mlanthology.org/aaai/2007/gogate2007aaai-approximate/}
}