Exploiting Causality for Selective Belief Filtering in Dynamic Bayesian Networks (Extended Abstract)

10 Jul 2019Stefano V. AlbrechtSubramanian Ramamoorthy

Dynamic Bayesian networks (DBNs) are a general model for stochastic processes with partially observed states. Belief filtering in DBNs is the task of inferring the belief state (i.e. the probability distribution over process states) based on incomplete and uncertain observations... (read more)

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