Parameter Learning of Bayesian Network with Multiplicative Synergistic Constraints
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DOI: 10.3390/sym14071469
Abstract: Learning the conditional probability table (CPT) parameters of Bayesian networks (BNs) is a key challenge in real-world decision support applications, especially when there are limited data available. The traditional approach to this challenge is introducing… read more here.
Keywords: bayesian network; synergistic constraints; parameter learning; multiplicative synergistic ... See more keywords