Approximate inference in continuous time Gaussian-Jump processes.
Manfred OpperAndreas RuttorGuido SanguinettiPublished in: NIPS (2010)
Keyphrases
- approximate inference
- expectation propagation
- graphical models
- belief propagation
- probabilistic inference
- markov chain
- parameter estimation
- exact inference
- message passing
- gaussian process
- bayesian networks
- loopy belief propagation
- latent variables
- variational methods
- linear gaussian
- factor graphs
- conditional random fields
- dynamic bayesian networks
- free energy
- random variables
- probabilistic model
- model selection
- maximum likelihood
- structured prediction
- bayesian inference
- variational approximation
- markov random field
- state space
- image reconstruction
- generalized belief propagation
- variational bayes
- fixed point
- similarity measure
- post processing
- regression model