ML Anthology

A Bayesian Method Reexamined

Derek D. Ayers
UAI 1994 pp. 23-27
doi:10.1016/B978-1-55860-332-5.50008-0 /uai/1994/ayers1994uai-bayesian/

Abstract

This paper examines the "K2" network scoring metric of Cooper and Herskovits. It shows counterintuitive results from applying this metric to simple networks. One family of noninformative priors is suggested for assigning equal scores to equivalent networks.

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Text

Ayers. "A Bayesian Method Reexamined." Conference on Uncertainty in Artificial Intelligence, 1994. doi:10.1016/B978-1-55860-332-5.50008-0

Markdown

[Ayers. "A Bayesian Method Reexamined." Conference on Uncertainty in Artificial Intelligence, 1994.](https://mlanthology.org/uai/1994/ayers1994uai-bayesian/) doi:10.1016/B978-1-55860-332-5.50008-0

BibTeX

@inproceedings{ayers1994uai-bayesian,
  title     = {{A Bayesian Method Reexamined}},
  author    = {Ayers, Derek D.},
  booktitle = {Conference on Uncertainty in Artificial Intelligence},
  year      = {1994},
  pages     = {23-27},
  doi       = {10.1016/B978-1-55860-332-5.50008-0},
  url       = {https://mlanthology.org/uai/1994/ayers1994uai-bayesian/}
}