A Bayesian method for constructing Bayesian belief networks from databases

  • Authors:
  • Gregory F. Cooper;Edward Herskovits

  • Affiliations:
  • Medical Informatics, Department of Medicine, University of Pittsburgh, Pittsburgh, PA;Medical Computer Science, Stanford University, Stanford, CA

  • Venue:
  • UAI'91 Proceedings of the Seventh conference on Uncertainty in Artificial Intelligence
  • Year:
  • 1991

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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.