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Learning Bayesian network classifiers using ant colony optimization

✍ Scribed by Khalid M. Salama, Alex A. Freitas


Book ID
120948304
Publisher
Springer US
Year
2013
Tongue
English
Weight
941 KB
Volume
7
Category
Article
ISSN
1935-3812

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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