6367 search results - page 4 / 1274 » From Statistics to Beliefs |
ICCAD
2008
IEEE
14 years 2 months ago
2008
IEEE
Statistical static timing analysis (SSTA) has emerged as an essential tool for nanoscale designs. Monte Carlo methods are universally employed to validate the accuracy of the appr...
CVPR
2008
IEEE
14 years 7 months ago
2008
IEEE
Belief Propagation (BP) can be very useful and efficient for performing approximate inference on graphs. But when the graph is very highly connected with strong conflicting intera...
NIPS
2001
13 years 7 months ago
2001
Bayesian belief propagation in graphical models has been recently shown to have very close ties to inference methods based in statistical physics. After Yedidia et al. demonstrate...
JMLR
2010
13 years 17 days ago
2010
We propose a class of Bayesian networks appropriate for structured prediction problems where the Bayesian network's model structure is a function of the predicted output stru...
ICASSP
2011
IEEE
12 years 9 months ago
2011
IEEE
Deep Belief Networks (DBNs) are multi-layer generative models. They can be trained to model windows of coefficients extracted from speech and they discover multiple layers of fea...