A mixed-categorical correlation kernel for Gaussian process.
Paul SavesYoussef DiouaneNathalie BartoliThierry LefebvreJoseph MorlierPublished in: Neurocomputing (2023)
Keyphrases
- gaussian process
- gaussian processes
- gaussian process regression
- reproducing kernel hilbert space
- covariance function
- kernel logistic regression
- semi supervised
- bayesian framework
- hyperparameters
- regression model
- approximate inference
- model selection
- gaussian process classification
- sparse approximations
- latent variables
- cross validation
- support vector
- gaussian process models
- kernel methods
- expectation propagation
- kernel function
- kernel machines
- feature space
- multi task
- machine learning
- active learning
- similarity measure