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UAI
2008
14 years 11 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...
INFOCOM
1994
IEEE
15 years 2 months ago
1994
IEEE
A new model of nonuniform traffic is introduced for a single-hop packet-switching system. This traffic model allows arbitrary traffic streams subject only to a constraint on the nu...
CORR
2010
Springer
14 years 8 months ago
2010
Springer
We consider linear models for stochastic dynamics. To any such model can be associated a network (namely a directed graph) describing which degrees of freedom interact under the d...
CCGRID
2004
IEEE
15 years 1 months ago
2004
IEEE
1 Scheduling resources on Grids is a well-known problem. The extension of Grids to LambdaGrids requires scheduling of lambdas, i.e., end-to-end high-speed circuits. In this paper, ...
ICML
2009
IEEE
15 years 10 months ago
2009
IEEE
There has been much interest in unsupervised learning of hierarchical generative models such as deep belief networks. Scaling such models to full-sized, high-dimensional images re...