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» Continuous-Time Belief Propagation
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ICML
2010
IEEE
13 years 4 months ago
Continuous-Time Belief Propagation
Many temporal processes can be naturally modeled as a stochastic system that evolves continuously over time. The representation language of continuous-time Bayesian networks allow...
Tal El-Hay, Ido Cohn, Nir Friedman, Raz Kupferman
UAI
2003
13 years 5 months ago
A Simple Insight into Iterative Belief Propagation's Success
In non-ergodic belief networks the posterior belief of many queries given evidence may become zero. The paper shows that when belief propagation is applied iteratively over arbitr...
Rina Dechter, Robert Mateescu
JMLR
2010
137views more  JMLR 2010»
12 years 10 months ago
Importance Sampling for Continuous Time Bayesian Networks
A continuous time Bayesian network (CTBN) uses a structured representation to describe a dynamic system with a finite number of states which evolves in continuous time. Exact infe...
Yu Fan, Jing Xu, Christian R. Shelton
NIPS
2007
13 years 5 months ago
Cooled and Relaxed Survey Propagation for MRFs
We describe a new algorithm, Relaxed Survey Propagation (RSP), for finding MAP configurations in Markov random fields. We compare its performance with state-of-the-art algorith...
Hai Leong Chieu, Wee Sun Lee, Yee Whye Teh
CORR
2006
Springer
161views Education» more  CORR 2006»
13 years 3 months ago
Consensus Propagation
We propose consensus propagation, an asynchronous distributed protocol for averaging numbers across a network. We establish convergence, characterize the convergence rate for regul...
Ciamac Cyrus Moallemi, Benjamin Van Roy