Bayesian Networks

Pushing the Boundaries of Probabilistic Inference through Message Contraction Optimization

A key aspect of intelligent systems is their capacity to reason under uncertainty. This task involves calculating probabilities of relevant variables while considering any …

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Martin Roa Villescas

Scaling Probabilistic Inference through Message Contraction Optimization

Within the realm of probabilistic graphical models, message-passing algorithms offer a powerful framework for efficient inference. When dealing with discrete variables, these …

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Martin Roa Villescas