727 search results - page 15 / 146 » On Bayesian model and variable selection using MCMC |
77
Voted
JMLR
2010
14 years 4 months ago
2010
Networks are becoming a unifying framework for modeling complex systems and network inference problems are frequently encountered in many fields. Here, I develop and apply a gener...
ICML
2004
IEEE
15 years 10 months ago
2004
IEEE
Variational inference methods, including mean field methods and loopy belief propagation, have been widely used for approximate probabilistic inference in graphical models. While ...
AUSAI
2006
Springer
15 years 1 months ago
2006
Springer
Abstract. We use a Markov Chain Monte Carlo (MCMC) MML algorithm to learn hybrid Bayesian networks from observational data. Hybrid networks represent local structure, using conditi...
ICA
2007
Springer
15 years 1 months ago
2007
Springer
Abstract. A nonparametric Bayesian extension of Independent Components Analysis (ICA) is proposed where observed data Y is modelled as a linear superposition, G, of a potentially i...
CVPR
2003
IEEE
15 years 3 months ago
2003
IEEE
Problem of segmenting individual humans in crowded situations from stationary video camera sequences is exacerbated by object inter-occlusion. We pose this problem as a “model-b...