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Bayesian networks encode causal relations between variables using probability and graph theory. We employ genetic algorithm to exploit these causal relations from data for classification problems, thus restricting the search space from directed acyclic graphs to trees. Prufer number encoding of the structure is employed for the representation of individuals(More)
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