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CORR
2012
Springer
170views Education» more  CORR 2012»
13 years 5 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
CHI
2005
ACM
15 years 10 months ago
Understanding research trends in conferences using paperLens
PaperLens is a novel visualization that reveals trends, connections, and activity throughout a conference community. It tightly couples views across papers, authors, and reference...
Bongshin Lee, Mary Czerwinski, George G. Robertson...
AUIC
2004
IEEE
15 years 1 months ago
Revisiting 2D vs 3D Implications on Spatial Memory
Prior research has shown that the efficient use of graphical user interfaces strongly depends on human capabilities for spatial cognition. Although it is tempting to believe that ...
Andy Cockburn
UAI
2008
14 years 11 months ago
Inference for Multiplicative Models
The paper introduces a generalization for known probabilistic models such as log-linear and graphical models, called here multiplicative models. These models, that express probabi...
Ydo Wexler, Christopher Meek
JMLR
2010
118views more  JMLR 2010»
14 years 4 months ago
Exploiting Within-Clique Factorizations in Junction-Tree Algorithms
It is probably fair to say that exact inference in graphical models is considered a solved problem, at least regarding its computational complexity: it is exponential in the treew...
Julian John McAuley, Tibério S. Caetano