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Structure learning is a very important problem in the context of Bayesian networks (BNs). For this reason, it has been largely studied in the last few years and many approaches have been presented to find an optimal structure based on training samples. In a previous paper, we proposed an evolutionary algorithm for BN structure learning based on a data structure specifically devised for encoding BNs...
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