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A Method for Integrating Expert Knowledge When Learning Bayesian Networks From Data

✍ Scribed by Cano, A.; Masegosa, A.R.; Moral, S.

Book ID
117939241
Publisher
IEEE
Year
2011
Tongue
English
Weight
344 KB
Volume
41
Category
Article
ISSN
1083-4419

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The problem of learning Bayesian networks from statistical data is described and reformulated as a discrete optimization problem. For a solution we employ the stochastic algorithm that is known as simulated annealing and that is based on the Markov Chain Monte Carlo approach. Numerical examples are