An approximate inference with Gaussian process to latent functions from uncertain data.
Patrick DallaireCamille BesseBrahim Chaib-draaPublished in: Neurocomputing (2011)
Keyphrases
- gaussian process
- approximate inference
- uncertain data
- latent variables
- gaussian processes
- expectation propagation
- probabilistic model
- exact inference
- hyperparameters
- regression model
- bayesian framework
- model selection
- dynamic bayesian networks
- random variables
- data streams
- probabilistic graphical models
- free energy
- semi supervised
- posterior distribution
- knowledge discovery
- prior knowledge
- variational bayes
- information retrieval
- topic models
- data sets
- markov random field
- feature selection