Bayesian Generalised Ensemble Markov Chain Monte Carlo.
Jes FrellsenOle WintherZoubin GhahramaniJesper Ferkinghoff-BorgPublished in: AISTATS (2016)
Keyphrases
- markov chain monte carlo
- posterior distribution
- posterior probability
- bayesian inference
- generative model
- markov chain
- parameter estimation
- fully bayesian
- monte carlo
- markov chain monte carlo sampling
- particle filter
- data association
- bayesian framework
- approximate inference
- learning algorithm
- probability distribution
- feature selection
- particle filtering
- simulated annealing
- bayesian networks
- latent variables
- probabilistic model
- machine learning
- maximum a posteriori
- mean shift
- probabilistic inference
- model selection
- maximum likelihood
- image sequences
- genetic algorithm