81 search results - page 3 / 17 » A Practical Markov Chain Monte Carlo Approach to Decision Pr... |
CVPR
2007
IEEE
14 years 1 months ago
2007
IEEE
We propose a framework for general multiple target tracking, where the input is a set of candidate regions in each frame, as obtained from a state of the art background learning, ...
UAI
2001
13 years 8 months ago
2001
We present an iterative Markov chain Monte Carlo algorithm for computing reference priors and minimax risk for general parametric families. Our approach uses MCMC techniques based...
KI
2010
Springer
13 years 5 months ago
2010
Springer
The key task in probabilistic reasoning is to appropriately update one’s beliefs as one obtains new information in the form of evidence. In many application settings, however, th...
CISS
2008
IEEE
14 years 1 months ago
2008
IEEE
— We propose an implementable new universal lossy source coding algorithm. The new algorithm utilizes two wellknown tools from statistical physics and computer science: Gibbs sam...
IJCNN
2000
IEEE
13 years 12 months ago
2000
IEEE
Bayesian MLP neural networks are a flexible tool in complex nonlinear problems. The approach is complicated by need to evaluate integrals over high-dimensional probability distri...