190 search results - page 23 / 38 » On solving integral equations using Markov chain Monte Carlo... |
ICASSP
2008
IEEE
15 years 6 months ago
2008
IEEE
We present a novel technique for image inpainting, the problem of filling-in missing image parts. Image inpainting is ill-posed and we adopt a probabilistic model-based approach ...
104
click to vote
ANOR
2007
14 years 11 months ago
2007
We present a novel portfolio selection technique, which replaces the traditional maximization of the utility function with a probabilistic approach inspired by statistical physics....
119
click to vote
PRL
2000
14 years 11 months ago
2000
We demonstrate the advantages of using Bayesian multi layer perceptron (MLP) neural networks for image analysis. The Bayesian approach provides consistent way to do inference by c...
100
click to vote
QUESTA
2006
14 years 11 months ago
2006
In this paper we study a single-server queue where the inter-arrival times and the service times depend on a common discrete time Markov Chain. This model generalizes the well-kno...
ICML
2009
IEEE
16 years 15 days ago
2009
IEEE
The inhomogeneous Poisson process is a point process that has varying intensity across its domain (usually time or space). For nonparametric Bayesian modeling, the Gaussian proces...