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» On Graphical Modeling of Preference and Importance
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UAI
2003
13 years 9 months ago
The Information Bottleneck EM Algorithm
Learning with hidden variables is a central challenge in probabilistic graphical models that has important implications for many real-life problems. The classical approach is usin...
Gal Elidan, Nir Friedman
ICML
2010
IEEE
13 years 9 months ago
Accelerated dual decomposition for MAP inference
Approximate MAP inference in graphical models is an important and challenging problem for many domains including computer vision, computational biology and natural language unders...
Vladimir Jojic, Stephen Gould, Daphne Koller
CORR
2012
Springer
188views Education» more  CORR 2012»
12 years 4 months ago
A Logical Characterization of Constraint-Based Causal Discovery
We present a novel approach to constraintbased causal discovery, that takes the form of straightforward logical inference, applied to a list of simple, logical statements about ca...
Tom Claassen, Tom Heskes
CW
2002
IEEE
14 years 1 months ago
Free-Form Deformation with Automatically Generated Multiresolution Lattices
Developing intuitive and efficient methods for shape editing is one of the most important areas in computer graphics, and free-form deformation (FFD), which is one of such methods...
Yutaka Ono, Bing-Yu Chen, Tomoyuki Nishita, Jieqin...
BMCBI
2010
72views more  BMCBI 2010»
13 years 8 months ago
Potentials 'R'Us web-server for protein energy estimations with coarse-grained knowledge-based potentials
Background: Knowledge-based potentials have been widely used in the last 20 years for fold recognition, protein structure prediction from amino acid sequence, ligand binding, prot...
Yaping Feng, Andrzej Kloczkowski, Robert L. Jernig...