Inference in Bayesian Networks

  • Bruce D'Ambrosio

Abstract

A Bayesian network is a compact, expressive representation of uncertain relationships among parameters in a domain. In this article, I introduce basic methods for computing with Bayesian networks, starting with the simple idea of summing the probabilities of events of interest. The article introduces major current methods for exact computation, briefly surveys approximation methods, and closes with a brief discussion of open issues.
Published
1999-06-15
How to Cite
D’Ambrosio, B. (1999). Inference in Bayesian Networks. AI Magazine, 20(2), 21. https://doi.org/10.1609/aimag.v20i2.1454
Section
Articles