Approximation of Gaussian process regression models after training.
Thorsten SuttorpChristian IgelPublished in: ESANN (2008)
Keyphrases
- regression model
- gaussian process
- expectation propagation
- marginal likelihood
- covariance function
- gaussian processes
- sparse approximations
- sparse approximation
- gaussian process regression
- model selection
- approximate inference
- gaussian process models
- variational inference
- conditional distribution
- supervised learning
- training set
- survival analysis
- neural network
- prior information
- machine learning