298 search results - page 26 / 60 » Approximate Inference and Constrained Optimization |
NIPS
2001
13 years 9 months ago
2001
Estimating insurance premia from data is a difficult regression problem for several reasons: the large number of variables, many of which are discrete, and the very peculiar shape...
SIBGRAPI
2008
IEEE
14 years 2 months ago
2008
IEEE
Bayesian inference methods are commonly applied to the classification of brain Magnetic Resonance images (MRI). We use the Maximum Evidence (ME) approach to estimate the most prob...
JAIR
2006
13 years 7 months ago
2006
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...
STOC
2009
ACM
14 years 8 months ago
2009
ACM
We design a linear time approximation scheme for the GaleBerlekamp Switching Game and generalize it to a wider class of dense fragile minimization problems including the Nearest C...
WSC
2004
13 years 9 months ago
2004
Simulation composability is a difficult capability to achieve due to the challenges of creating components, selecting combinations of components, and integrating the selected comp...