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» Junction tree decomposition for parallel exact inference
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JMLR
2010
118views more  JMLR 2010»
13 years 2 months ago
Exploiting Within-Clique Factorizations in Junction-Tree Algorithms
It is probably fair to say that exact inference in graphical models is considered a solved problem, at least regarding its computational complexity: it is exponential in the treew...
Julian John McAuley, Tibério S. Caetano
AI
1998
Springer
13 years 11 months ago
Temporally Invariant Junction Tree for Inference in Dynamic Bayesian Network
Abstract. Dynamic Bayesian networks (DBNs) extend Bayesian networks from static domains to dynamic domains. The only known generic method for exact inference in DBNs is based on dy...
Yang Xiang
IPSN
2005
Springer
14 years 29 days ago
A robust architecture for distributed inference in sensor networks
— Many inference problems that arise in sensor networks require the computation of a global conclusion that is consistent with local information known to each node. A large class...
Mark A. Paskin, Carlos Guestrin, Jim McFadden
COLING
2008
13 years 9 months ago
Exact Inference for Multi-label Classification using Sparse Graphical Models
This paper describes a parameter estimation method for multi-label classification that does not rely on approximate inference. It is known that multi-label classification involvin...
Yusuke Miyao, Jun-ichi Tsujii
NIPS
2003
13 years 8 months ago
Sample Propagation
Rao–Blackwellization is an approximation technique for probabilistic inference that flexibly combines exact inference with sampling. It is useful in models where conditioning o...
Mark A. Paskin