Model Selection for Gaussian Process Regression.
Nico S. GorbachAndrew An BianBenjamin FischerStefan BauerJoachim M. BuhmannPublished in: GCPR (2017)
Keyphrases
- gaussian process regression
- model selection
- gaussian process
- hyperparameters
- gaussian processes
- cross validation
- regression model
- parameter estimation
- mixture model
- sample size
- marginal likelihood
- approximate inference
- machine learning
- information criterion
- feature selection
- expectation propagation
- selection criterion
- supervised learning
- model selection criteria
- automatic model selection
- edge detection
- training data