Ant colony optimization for learning Bay
β
Luis M. de Campos; Juan M. FernΓ‘ndez-Luna; JosΓ© A. GΓ‘mez; JosΓ© M. Puerta
π
Article
π
2002
π
Elsevier Science
π
English
β 348 KB
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