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JMLR
2006
105views more  JMLR 2006»
15 years 1 months ago
Expectation Correction for Smoothed Inference in Switching Linear Dynamical Systems
We introduce a method for approximate smoothed inference in a class of switching linear dynamical systems, based on a novel form of Gaussian Sum smoother. This class includes the ...
David Barber
CORR
2012
Springer
170views Education» more  CORR 2012»
13 years 9 months ago
What Cannot be Learned with Bethe Approximations
We address the problem of learning the parameters in graphical models when inference is intractable. A common strategy in this case is to replace the partition function with its B...
Uri Heinemann, Amir Globerson
JMLR
2010
141views more  JMLR 2010»
14 years 8 months ago
FastInf: An Efficient Approximate Inference Library
The FastInf C++ library is designed to perform memory and time efficient approximate inference in large-scale discrete undirected graphical models. The focus of the library is pro...
Ariel Jaimovich, Ofer Meshi, Ian McGraw, Gal Elida...
CORR
2008
Springer
104views Education» more  CORR 2008»
15 years 1 months ago
A Variational Inference Framework for Soft-In-Soft-Out Detection in Multiple Access Channels
We propose a unified framework for deriving and studying soft-in soft-out (SISO) detection in multiple-access channels using the concept of variational inference. The proposed fram...
Darryl Dexu Lin, Teng Joon Lim
CISS
2007
IEEE
15 years 5 months ago
Energy Efficient Routing for Statistical Inference of Markov Random Fields
The problem of routing of sensor observations for optimal detection of a Markov random field (MRF) at a designated fusion center is analyzed. Assuming that the correlation structur...
Animashree Anandkumar, Lang Tong, Ananthram Swami