465 search results - page 4 / 93 » Split variational inference |
ICISP
2010
Springer
13 years 10 months ago
2010
Springer
Compressed Imaging is the theory that studies the problem of image recovery from an under-determined system of linear measurements. One of the most popular methods in this field i...
NIPS
2007
13 years 7 months ago
2007
A wide variety of Dirichlet-multinomial ‘topic’ models have found interesting applications in recent years. While Gibbs sampling remains an important method of inference in su...
UAI
2008
13 years 7 months ago
2008
Variational Bayesian inference and (collapsed) Gibbs sampling are the two important classes of inference algorithms for Bayesian networks. Both have their advantages and disadvant...
ICASSP
2009
IEEE
14 years 1 months ago
2009
IEEE
Abstract –In this paper, a variational message passing framework is proposed for Markov random fields, which is computationally more efficient and admits wider applicability comp...
NAACL
2010
13 years 4 months ago
2010
Adaptor grammars extend probabilistic context-free grammars to define prior distributions over trees with "rich get richer" dynamics. Inference for adaptor grammars seek...