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A meta-assessment for elasmobranchs based on dietary data and Bayesian networks

✍ Scribed by T.R Hammond; J.R Ellis

Book ID
117781928
Publisher
Elsevier Science
Year
2002
Tongue
English
Weight
415 KB
Volume
1
Category
Article
ISSN
1470-160X

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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