A Sparse Covariance Function for Exact Gaussian Process Inference in Large Datasets.
Arman MelkumyanFabio RamosPublished in: IJCAI (2009)
Keyphrases
- supervised learning
- covariance function
- gaussian process
- semi supervised
- gaussian processes
- gaussian process regression
- sparse approximations
- approximate inference
- regression model
- bayesian framework
- non stationary
- hyperparameters
- latent variables
- model selection
- signal to noise ratio
- maximum a posteriori
- closed form
- bayesian methods
- multi task learning
- expectation propagation