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EMNLP
2009
13 years 6 months ago
On the Use of Virtual Evidence in Conditional Random Fields
Virtual evidence (VE), first introduced by (Pearl, 1988), provides a convenient way of incorporating prior knowledge into Bayesian networks. This work generalizes the use of VE to...
Xiao Li
FLAIRS
2009
13 years 6 months ago
Join Tree Propagation Utilizing Both Arc Reversal and Variable Elimination
In this paper, we put forth the first join tree propagation algorithm that selectively applies either arc reversal (AR) or variable elimination (VE) to build the propagated messag...
Cory J. Butz, Ken Konkel, Pawan Lingras
DA
2010
123views more  DA 2010»
13 years 5 months ago
Paradoxes in Learning and the Marginal Value of Information
We consider the Bayesian ranking and selection problem, in which one wishes to allocate an information collection budget as efficiently as possible to choose the best among severa...
Peter Frazier, Warren B. Powell
CVPR
2011
IEEE
13 years 3 months ago
Blind Deconvolution Using A Normalized Sparsity Measure
Blind image deconvolution is an ill-posed problem that requires regularization to solve. However, many common forms of image prior used in this setting have a major drawback in th...
Dilip Krishnan, Rob Fergus
JMLR
2010
125views more  JMLR 2010»
13 years 3 months ago
Variational methods for Reinforcement Learning
We consider reinforcement learning as solving a Markov decision process with unknown transition distribution. Based on interaction with the environment, an estimate of the transit...
Thomas Furmston, David Barber