ML Anthology

A Backwards View for Assessment

Ross D. Shachter, David Heckerman
UAI 1986 pp. 317-324
doi:10.1016/B978-0-444-70396-5.50032-7 /uai/1986/shachter1986uai-backwards/

Abstract

Much artificial intelligence research focuses on the problem of deducing the validity of unobservable propositions or hypotheses from observable evidence.! Many of the knowledge representation techniques designed for this problem encode the relationship between evidence and hypothesis in a directed manner. Moreover, the direction in which evidence is stored is typically from evidence to hypothesis.

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Text

Shachter and Heckerman. "A Backwards View for Assessment." Conference on Uncertainty in Artificial Intelligence, 1986. doi:10.1016/B978-0-444-70396-5.50032-7

Markdown

[Shachter and Heckerman. "A Backwards View for Assessment." Conference on Uncertainty in Artificial Intelligence, 1986.](https://mlanthology.org/uai/1986/shachter1986uai-backwards/) doi:10.1016/B978-0-444-70396-5.50032-7

BibTeX

@inproceedings{shachter1986uai-backwards,
  title     = {{A Backwards View for Assessment}},
  author    = {Shachter, Ross D. and Heckerman, David},
  booktitle = {Conference on Uncertainty in Artificial Intelligence},
  year      = {1986},
  pages     = {317-324},
  doi       = {10.1016/B978-0-444-70396-5.50032-7},
  url       = {https://mlanthology.org/uai/1986/shachter1986uai-backwards/}
}