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A New Evolutionary Computation Based Approach for Learning Bayesian Network

✍ Scribed by Yungang Zhu; Dayou Liu; Haiyang Jia

Book ID
119354319
Publisher
Elsevier
Year
2011
Tongue
English
Weight
322 KB
Volume
15
Category
Article
ISSN
1877-7058

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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