Deterministic approximate inference techniques for conditionally Gaussian state space models.
Onno ZoeterTom HeskesPublished in: Stat. Comput. (2006)
Keyphrases
- approximate inference
- state space
- graphical models
- linear gaussian
- probabilistic inference
- structured prediction
- factor graphs
- expectation propagation
- parameter estimation
- variational methods
- message passing
- exact inference
- probabilistic model
- belief propagation
- dynamic bayesian networks
- variational approximation
- markov chain monte carlo
- latent variables
- density estimation
- machine learning
- bayesian framework
- conditional random fields
- prior knowledge
- reinforcement learning
- bayesian networks
- three dimensional
- image processing