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UAI
2003
15 years 2 months ago
Approximate Inference and Constrained Optimization
Loopy and generalized belief propagation are popular algorithms for approximate inference in Markov random fields and Bayesian networks. Fixed points of these algorithms correspo...
Tom Heskes, Kees Albers, Bert Kappen
JAIR
2006
143views more  JAIR 2006»
15 years 19 days ago
Convexity Arguments for Efficient Minimization of the Bethe and Kikuchi Free Energies
Loopy and generalized belief propagation are popular algorithms for approximate inference in Markov random fields and Bayesian networks. Fixed points of these algorithms have been...
Tom Heskes
106
Voted
JMLR
2006
117views more  JMLR 2006»
15 years 19 days ago
On the Complexity of Learning Lexicographic Strategies
Fast and frugal heuristics are well studied models of bounded rationality. Psychological research has proposed the take-the-best heuristic as a successful strategy in decision mak...
Michael Schmitt, Laura Martignon
MST
2011
205views Hardware» more  MST 2011»
14 years 7 months ago
Sublinear Time Algorithms for Earth Mover's Distance
We study the problem of estimating the Earth Mover’s Distance (EMD) between probability distributions when given access only to samples of the distributions. We give closeness t...
Khanh Do Ba, Huy L. Nguyen, Huy N. Nguyen, Ronitt ...
GD
2004
Springer
15 years 6 months ago
Layout Volumes of the Hypercube
We study 3-dimensional layouts of the hypercube in a 1-active layer and general model. The problem can be understood as a graph drawing problem in 3D space and was addressed at Gr...
Lubomir Torok, Imrich Vrto