190 search results - page 4 / 38 » On solving integral equations using Markov chain Monte Carlo... |
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...
ECCV
2002
Springer
14 years 9 months ago
2002
Springer
We propose Markov chain Monte Carlo sampling methods to address uncertainty estimation in disparity computation. We consider this problem at a postprocessing stage, i.e. once the d...
NIPS
2007
13 years 8 months ago
2007
Many formal models of cognition implicitly use subjective probability distributions to capture the assumptions of human learners. Most applications of these models determine these...
NAACL
2007
13 years 8 months ago
2007
This paper presents two Markov chain Monte Carlo (MCMC) algorithms for Bayesian inference of probabilistic context free grammars (PCFGs) from terminal strings, providing an altern...
ECCV
2008
Springer
14 years 9 months ago
2008
Springer
Abstract. We propose a novel tracking algorithm based on the WangLandau Monte Carlo sampling method which efficiently deals with the abrupt motions. Abrupt motions could cause conv...