Optimal classification of Gaussian processes in homo- and heteroscedastic settings.
José L. TorrecillaCarlos Ramos-CarreñoManuel Sánchez-MontañésAlberto SuárezPublished in: Stat. Comput. (2020)
Keyphrases
- gaussian processes
- gaussian process
- bayesian methods
- classification accuracy
- relevance vector machine
- support vector
- gaussian process regression
- hyperparameters
- preference learning
- decision trees
- feature space
- machine learning algorithms
- machine learning
- covariance function
- feature subset
- incremental learning
- feature extraction
- cross validation
- multi task
- image classification
- supervised learning
- active learning
- learning algorithm