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12 papers · 2 filters
Continuous Time Bayesian Networks
Uri Nodelman, Christian R. Shelton, Daphne Koller
In this paper we present a language for finite state continuous time Bayesian networks (CTBNs), which describe structured stochastic processes that evolve over continuous time. The…
Distributed Planning in Hierarchical Factored MDPs
Carlos E. Guestrin, Geoffrey Gordon
We present a principled and efficient planning algorithm for collaborative multiagent dynamical systems. All computation, during both the planning and the execution phases, is dist…
Expectation Maximization and Complex Duration Distributions for Continuous Time Bayesian Networks
Uri Nodelman, Christian R. Shelton, Daphne Koller
Continuous time Bayesian networks (CTBNs) describe structured stochastic processes with finitely many states that evolve over continuous time. A CTBN is a directed (possibly cyclic…
Expectation Propagation for Continuous Time Bayesian Networks
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. A CTBN is a directed (possibly cyclic…
Continuous Time Markov Networks
Tal El-Hay, Nir Friedman, Daphne Koller +1
A central task in many applications is reasoning about processes that change in a continuous time. The mathematical framework of Continuous Time Markov Processes provides the basic…
Residual Belief Propagation: Informed Scheduling for Asynchronous Message Passing
Gal Elidan, Ian McGraw, Daphne Koller
Inference for probabilistic graphical models is still very much a practical challenge in large domains. The commonly used and effective belief propagation (BP) algorithm and its ge…