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» Focused Belief Propagation for Query-Specific Inference
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JMLR
2010
169views more  JMLR 2010»
12 years 11 months ago
Focused Belief Propagation for Query-Specific Inference
With the increasing popularity of largescale probabilistic graphical models, even "lightweight" approximate inference methods are becoming infeasible. Fortunately, often...
Anton Chechetka, Carlos Guestrin
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
CORR
2008
Springer
234views Education» more  CORR 2008»
13 years 4 months ago
Bayesian Compressive Sensing via Belief Propagation
Compressive sensing (CS) is an emerging field based on the revelation that a small collection of linear projections of a sparse signal contains enough information for stable, sub-N...
Dror Baron, Shriram Sarvotham, Richard G. Baraniuk
AI
2011
Springer
12 years 8 months ago
Parallelizing a Convergent Approximate Inference Method
Probabilistic inference in graphical models is a prevalent task in statistics and artificial intelligence. The ability to perform this inference task efficiently is critical in l...
Ming Su, Elizabeth Thompson
JMLR
2010
141views more  JMLR 2010»
12 years 11 months ago
FastInf: An Efficient Approximate Inference Library
The FastInf C++ library is designed to perform memory and time efficient approximate inference in large-scale discrete undirected graphical models. The focus of the library is pro...
Ariel Jaimovich, Ofer Meshi, Ian McGraw, Gal Elida...