Bayesian Inference for Dynamic Models with Dirichlet Process Mixtures.
Francois CaronManuel DavyArnaud DoucetEmmanuel DuflosPhilippe VanheeghePublished in: FUSION (2006)
Keyphrases
- dynamic model
- bayesian inference
- dirichlet process
- dirichlet processes
- variational inference
- bayesian model
- mixture model
- probabilistic model
- markov chain monte carlo
- hyperparameters
- experimental data
- prior information
- posterior distribution
- variational bayes
- gaussian processes
- multi task learning
- hidden variables
- sampling algorithm
- particle filter
- markov networks
- reinforcement learning
- least squares
- expectation maximization
- unsupervised learning
- latent variables