A Bayesian Method Reexamined
Artificial Intelligence
2013-02-28 v1
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.
Cite
@article{arxiv.1302.6781,
title = {A Bayesian Method Reexamined},
author = {Derek D. Ayers},
journal= {arXiv preprint arXiv:1302.6781},
year = {2013}
}
Comments
Appears in Proceedings of the Tenth Conference on Uncertainty in Artificial Intelligence (UAI1994)