ML Anthology

Similarity Networks for the Construction of Multiple-Faults Belief Networks

David Heckerman
UAI 1990 pp. 51-64
/uai/1990/heckerman1990uai-similarity/

Abstract

A similarity network is a tool for constructing belief networks for the diagnosis of a single fault. In this paper, we examine modifications to the similaritynetwork representation that facilitate the construction of belief networks for the diagnosis of multiple coexisting faults.

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Cite

Text

Heckerman. "Similarity Networks for the Construction of Multiple-Faults Belief Networks." Conference on Uncertainty in Artificial Intelligence, 1990.

Markdown

[Heckerman. "Similarity Networks for the Construction of Multiple-Faults Belief Networks." Conference on Uncertainty in Artificial Intelligence, 1990.](https://mlanthology.org/uai/1990/heckerman1990uai-similarity/)

BibTeX

@inproceedings{heckerman1990uai-similarity,
  title     = {{Similarity Networks for the Construction of Multiple-Faults Belief Networks}},
  author    = {Heckerman, David},
  booktitle = {Conference on Uncertainty in Artificial Intelligence},
  year      = {1990},
  pages     = {51-64},
  url       = {https://mlanthology.org/uai/1990/heckerman1990uai-similarity/}
}