Uncertainty in Artificial Intelligence
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A Bayesian Method for Constructing Bayesian Belief Networks from Databases
Gregory Cooper, Edward Herskovits
Abstract:
This paper presents a Bayesian method for constructing Bayesian belief networks from a database of cases. Potential applications include computer-assisted hypothesis testing, automated scientific discovery, and automated construction of probabilistic expert systems. Results are presented of a preliminary evaluation of an algorithm for constructing a belief network from a database of cases. We relate the methods in this paper to previous work, and we discuss open problems.
Keywords:
Pages: 86-94
PS Link:
PDF Link: /papers/91/p86-cooper.pdf
BibTex:
@INPROCEEDINGS{Cooper91,
AUTHOR = "Gregory Cooper and Edward Herskovits",
TITLE = "A Bayesian Method for Constructing Bayesian Belief Networks from Databases",
BOOKTITLE = "Proceedings of the Seventh Conference Annual Conference on Uncertainty in Artificial Intelligence (UAI-91)",
PUBLISHER = "Morgan Kaufmann",
ADDRESS = "San Mateo, CA",
YEAR = "1991",
PAGES = "86--94"
}


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