An augmented EM algorithm for monotonic Bayesian networks using parameterized conditional probability tables
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DOI: 10.1007/s41237-021-00134-y
Abstract: Bayesian networks offer an attractive framework for describing the relationship between latent proficiency variables and observable outcomes. In educational applications, it is useful to restrict the conditional probability tables of the Bayesian network to be… read more here.
Keywords: probability tables; conditional probability; algorithm monotonic; augmented algorithm ... See more keywords