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Reasoning in the Description Logic BEL Using Bayesian Networks

Ceylan, Ismail Ilkan (Technische Universitaet Dresden) | Penaloza, Rafael (Technische Universitaet Dresden)

AAAI ConferencesJul-22-2014

We study the problem of reasoning in the probabilistic Description Logic BEL. Using a novel structure, we show that probabilistic reasoning in this logic can be reduced in polynomial time to standard inferences over a Bayesian network. This reduction provides tight complexity bounds for probabilistic reasoning in BEL.

bayesian inference, description logic bel, machine learning, (3 more...)

AAAI Conferences

Workshops at the Twenty-Eighth AAAI Conference on Artificial Intelligence

Technology:

Information Technology > Artificial Intelligence > Representation & Reasoning > Uncertainty > Bayesian Inference (0.60)
Information Technology > Artificial Intelligence > Machine Learning > Learning Graphical Models > Directed Networks > Bayesian Learning (0.60)

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