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Inference and Learning with Model Uncertainty in Probabilistic Logic Programs.
Victor Verreet
Vincent Derkinderen
Pedro Zuidberg Dos Martires
Luc De Raedt
Published in:
AAAI (2022)
Keyphrases
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inference process
computational model
bayesian inference
dynamic bayesian networks
learning process
prior knowledge
probabilistic model
decision theoretic
bayesian model
learning algorithm
natural language
general purpose
higher order
structured prediction