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Comparison of score metrics for Bayesian network learning

✍ Scribed by Shulin Yang; Kuo-Chu Chang


Book ID
117937078
Publisher
IEEE
Year
2002
Tongue
English
Weight
641 KB
Volume
32
Category
Article
ISSN
1083-4427

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One important approach to learning Bayesian networks (BNs) from data uses a scoring metric to evaluate the fitness of any given candidate network for the data base, and applies a search procedure to explore the set of candidate networks. The most usual search methods are greedy hill climbing, either