Keyphrases
- model selection
- kernel matrix
- regression model
- gaussian process
- cross validation
- hyperparameters
- reproducing kernel hilbert space
- gaussian processes
- bayesian learning
- sample size
- parameter estimation
- machine learning
- kernel machines
- kernel function
- variable selection
- feature space
- learning machines
- selection criterion
- error estimation
- generalization error
- parameter determination
- statistical inference
- information criterion
- multivariate regression
- kernel methods
- mixture model
- model selection criteria
- feature selection
- support vector
- marginal likelihood
- prior information
- generalization bounds
- generative model
- bayesian model selection
- learning algorithm