Search Results for author: Uri Nodelman

Found 2 papers, 0 papers with code

Expectation Maximization and Complex Duration Distributions for Continuous Time Bayesian Networks

no code implementations4 Jul 2012 Uri Nodelman, Christian R. Shelton, Daphne Koller

A CTBN is a directed (possibly cyclic) dependency graph over a set of variables, each of which represents a finite state continuous time Markov process whose transition model is a function of its parents.

Expectation Propagation for Continuous Time Bayesian Networks

no code implementations4 Jul 2012 Uri Nodelman, Daphne Koller, Christian R. Shelton

Continuous time Bayesian networks (CTBNs) describe structured stochastic processes with finitely many states that evolve over continuous time.

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