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» A Theory of Mean Field Approximation
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EMMCVPR
1999
Springer
13 years 9 months ago
Markov Random Field Modelling of fMRI Data Using a Mean Field EM-algorithm
This paper considers the use of the EM-algorithm, combined with mean field theory, for parameter estimation in Markov random field models from unlabelled data. Special attention ...
Markus Svensén, Frithjof Kruggel, D. Yves v...
JMLR
2010
140views more  JMLR 2010»
12 years 12 months ago
Mean Field Variational Approximation for Continuous-Time Bayesian Networks
Continuous-time Bayesian networks is a natural structured representation language for multicomponent stochastic processes that evolve continuously over time. Despite the compact r...
Ido Cohn, Tal El-Hay, Nir Friedman, Raz Kupferman
ISIPTA
2005
IEEE
168views Mathematics» more  ISIPTA 2005»
13 years 10 months ago
Approximate Inference in Credal Networks by Variational Mean Field Methods
Graph-theoretical representations for sets of probability measures (credal networks) generally display high complexity, and approximate inference seems to be a natural solution fo...
Jaime Shinsuke Ide, Fabio Gagliardi Cozman
UAI
2004
13 years 6 months ago
Graph Partition Strategies for Generalized Mean Field Inference
An autonomous variational inference algorithm for arbitrary graphical models requires the ability to optimize variational approximations over the space of model parameters as well...
Eric P. Xing, Michael I. Jordan
GLOBECOM
2007
IEEE
13 years 9 months ago
Mean-Field Analysis of Buffer Sizing
Two schools of thoughts have emerged over the recent debate on internet router buffer sizing. One school argues that the presence of a large number of flows leads to traffic desync...
Mei Wang