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UAI
2008
14 years 11 months ago
Convergent Message-Passing Algorithms for Inference over General Graphs with Convex Free Energies
Inference problems in graphical models can be represented as a constrained optimization of a free energy function. It is known that when the Bethe free energy is used, the fixedpo...
Tamir Hazan, Amnon Shashua
NIPS
2003
14 years 11 months ago
Mutual Boosting for Contextual Inference
Mutual Boosting is a method aimed at incorporating contextual information to augment object detection. When multiple detectors of objects and parts are trained in parallel using A...
Michael Fink 0002, Pietro Perona
89
Voted
UAI
1994
14 years 10 months ago
Global Conditioning for Probabilistic Inference in Belief Networks
In this paper we propose a new approach to probabilistic inference on belief networks, global conditioning, which is a simple generalization of Pearl's (1986b) method of loop...
Ross D. Shachter, Stig K. Andersen, Peter Szolovit...
SIGMOD
2005
ACM
177views Database» more  SIGMOD 2005»
15 years 9 months ago
An approach for pipelining nested collections in scientific workflows
We describe an approach for pipelining nested data collections in scientific workflows. Our approach logically delimits arbitrarily nested collections of data tokens using special...
Timothy M. McPhillips, Shawn Bowers
106
Voted
LION
2009
Springer
114views Optimization» more  LION 2009»
15 years 4 months ago
Substitution Matrices and Mutual Information Approaches to Modeling Evolution
Abstract. Substitution matrices are at the heart of Bioinformatics: sequence alignment, database search, phylogenetic inference, protein family classication are based on Blosum, P...
Stephan Kitchovitch, Yuedong Song, Richard C. van ...