A unified framework for closed-form nonparametric regression, classification, preference and mixed problems with Skew Gaussian Processes.
Alessio BenavoliDario AzzimontiDario PigaPublished in: Mach. Learn. (2021)
Keyphrases
- closed form
- gaussian processes
- hyperparameters
- nonparametric regression
- gaussian process
- preference learning
- feature vectors
- model selection
- decision trees
- machine learning
- gaussian process regression
- feature extraction
- regression model
- cross validation
- maximum likelihood
- incremental learning
- text classification
- supervised learning
- support vector
- pointwise