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On Finding Relevant Variables in Discrete Bayesian Network Inference

Butz, Cory James (University of Regina) | Santos, Andre Evaristo Dos (University of Regina) | Oliveira, Jhonatan Souza (University of Regina)

AAAI ConferencesMay-16-2017

A central task in discrete Bayesian network (BN) inference is to determine those variables relevant to answer a given query. Two linear algorithms for this task explore the possibly relevant and active parts of a BN, respectively. We empirically compare these two methods along with a variation of each.

bayesian inference, discrete bayesian network inference, machine learning, (2 more...)

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Information Technology > Artificial Intelligence > Representation & Reasoning > Uncertainty > Bayesian Inference (0.89)
Information Technology > Artificial Intelligence > Machine Learning > Learning Graphical Models > Directed Networks > Bayesian Learning (0.89)

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