564 search results - page 56 / 113 » Bayesian Parameter Estimation: A Monte Carlo Approach |
AMAI
2004
Springer
15 years 5 months ago
2004
Springer
Bayesian Model Averaging (BMA) is well known for improving predictive accuracy by averaging inferences over all models in the model space. However, Markov chain Monte Carlo (MCMC)...
78
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CVPR
2003
IEEE
16 years 1 months ago
2003
IEEE
Inhomogeneous Gibbs model (IGM) [4] is an effective maximum entropy model in characterizing complex highdimensional distributions. However, its training process is so slow that th...
CVPR
2005
IEEE
16 years 1 months ago
2005
IEEE
In this paper, we present a Bayesian framework for the fully automatic tracking of a variable number of interacting targets using a fixed camera. This framework uses a joint multi...
100
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IOR
2011
14 years 6 months ago
2011
We derive a knowledge gradient policy for an optimal learning problem on a graph, in which we use sequential measurements to refine Bayesian estimates of individual edge values i...
MP
2006
14 years 11 months ago
2006
Determining if a solution is optimal or near optimal is fundamental in optimization theory, algorithms, and computation. For instance, Karush-Kuhn-Tucker conditions provide necessa...