Online Sparse Gaussian Process Training with Input Noise.
Hildo BijlThomas B. SchönJan-Willem van WingerdenMichel VerhaegenPublished in: CoRR (2016)
Keyphrases
- gaussian process
- covariance function
- gaussian processes
- sparse approximations
- sparse approximation
- gaussian process regression
- hyperparameters
- regression model
- noise level
- bayesian framework
- model selection
- input data
- approximate inference
- gaussian process classification
- latent variables
- semi supervised
- noise model
- training set
- data sets
- gaussian process models
- expectation propagation
- sparse representation
- cross validation
- marginal likelihood
- bayesian inference
- noise reduction
- supervised learning
- high dimensional data
- active learning
- missing data
- high dimensional
- pairwise
- maximum a posteriori
- learning algorithm