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» A computational approximation to the AIXI model
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CVPR
2011
IEEE
13 years 3 months ago
Learning Message-Passing Inference Machines for Structured Prediction
Nearly every structured prediction problem in computer vision requires approximate inference due to large and complex dependencies among output labels. While graphical models prov...
Stephane Ross, Daniel Munoz, J. Andrew Bagnell
JMLR
2011
125views more  JMLR 2011»
13 years 2 months ago
Approximate Marginals in Latent Gaussian Models
We consider the problem of improving the Gaussian approximate posterior marginals computed by expectation propagation and the Laplace method in latent Gaussian models and propose ...
Botond Cseke, Tom Heskes
PARA
2004
Springer
14 years 1 months ago
A Model-Order Reduction Technique for Low Rank Rational Perturbations of Linear Eigenproblems
Large and sparse rational eigenproblems where the rational term is of low rank k arise in vibrations of fluid–solid structures and of plates with elastically attached loads. Exp...
Frank Blömeling, Heinrich Voss
BMVC
1998
13 years 9 months ago
Building Shape Models from Image Sequences using Piecewise Linear Approximation
A method of extracting, classifying and modelling non-rigid shapes from an image sequence is presented. Shapes are approximated by polygons where the number of sides is related to...
Derek R. Magee, Roger D. Boyle
FSTTCS
2009
Springer
14 years 2 months ago
Functionally Private Approximations of Negligibly-Biased Estimators
ABSTRACT. We study functionally private approximations. An approximation function g is functionally private with respect to f if, for any input x, g(x) reveals no more information ...
André Madeira, S. Muthukrishnan