ML Anthology

A Probabilistic Approach to Hierarchical Model-Based Diagnosis

Sampath Srinivas
UAI 1994 pp. 538-545
doi:10.1016/B978-1-55860-332-5.50073-0 /uai/1994/srinivas1994uai-probabilistic/

Abstract

Model-based diagnosis reasons backwards from a functional schematic of a system to isolate faults given observations of anomalous behavior. We develop a fully probabilistic approach to model based diagnosis and extend it to support hierarchical models. Our scheme translates the functional schematic into a Bayesian network and diagnostic inference takes place in the Bayesian network. A Bayesian network diagnostic inference algorithm is modified to take advantage of the hierarchy to give computational gains.

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Text

Srinivas. "A Probabilistic Approach to Hierarchical Model-Based Diagnosis." Conference on Uncertainty in Artificial Intelligence, 1994. doi:10.1016/B978-1-55860-332-5.50073-0

Markdown

[Srinivas. "A Probabilistic Approach to Hierarchical Model-Based Diagnosis." Conference on Uncertainty in Artificial Intelligence, 1994.](https://mlanthology.org/uai/1994/srinivas1994uai-probabilistic/) doi:10.1016/B978-1-55860-332-5.50073-0

BibTeX

@inproceedings{srinivas1994uai-probabilistic,
  title     = {{A Probabilistic Approach to Hierarchical Model-Based Diagnosis}},
  author    = {Srinivas, Sampath},
  booktitle = {Conference on Uncertainty in Artificial Intelligence},
  year      = {1994},
  pages     = {538-545},
  doi       = {10.1016/B978-1-55860-332-5.50073-0},
  url       = {https://mlanthology.org/uai/1994/srinivas1994uai-probabilistic/}
}