486 search results - page 63 / 98 » A Bayesian Framework for Reinforcement Learning |
ICDM
2007
IEEE
14 years 1 months ago
2007
IEEE
Text clustering is most commonly treated as a fully automated task without user supervision. However, we can improve clustering performance using supervision in the form of pairwi...
TMI
2010
13 years 6 months ago
2010
Abstract—We propose a probabilistic model for analyzing spatial activation patterns in multiple functional magnetic resonance imaging (fMRI) activation images such as repeated ob...
CVPR
2011
IEEE
13 years 3 months ago
2011
IEEE
Conventional non-blind image deblurring algorithms involve natural image priors and maximum a-posteriori (MAP) estimation. As a consequence of MAP estimation, separate pre-process...
SEMWEB
2005
Springer
14 years 1 months ago
2005
Springer
This paper presents our ongoing effort on developing a principled methodology for automatic ontology mapping based on BayesOWL, a probabilistic framework we developed for modeling ...
CVPR
2007
IEEE
14 years 9 months ago
2007
IEEE
We propose a novel unsupervised learning framework for activity perception. To understand activities in complicated scenes from visual data, we propose a hierarchical Bayesian mod...