Approximate inference in latent Gaussian-Markov models from continuous time observations.
Botond CsekeManfred OpperGuido SanguinettiPublished in: NIPS (2013)
Keyphrases
- markov models
- approximate inference
- latent variables
- conditional random fields
- expectation propagation
- graphical models
- markov model
- markov chain
- maximum entropy
- higher order
- exact inference
- gaussian process
- hidden markov models
- belief propagation
- probabilistic model
- probabilistic inference
- structured prediction
- parameter estimation
- message passing
- bayesian networks
- dynamic bayesian networks
- markov random field
- posterior distribution
- random variables
- prior knowledge
- topic models
- maximum likelihood
- markov networks
- dynamical systems
- pairwise
- bayesian inference
- information extraction
- image processing
- state space
- regression model
- gaussian mixture model
- bayesian framework