MDL Based Model Selection for Relevance Vector Regression.
Davide AnguitaMatteo GaglioloPublished in: ICANN (2002)
Keyphrases
- model selection
- regression model
- cross validation
- parameter estimation
- hyperparameters
- sample size
- bayesian learning
- machine learning
- motion segmentation
- meta learning
- feature selection
- variable selection
- statistical learning
- gaussian process
- statistical inference
- selection criterion
- error estimation
- feature vectors
- information criterion
- parameter determination
- multivariate regression
- generalization error
- mixture model
- learning machines
- marginal likelihood
- model selection criteria
- support vector regression
- bayesian methods