Group Kernels for Gaussian Process Metamodels with Categorical Inputs.
Olivier RoustantEsperan PadonouYves DevilleAloïs ClémentGuillaume PerrinJean GiorlaHenry P. WynnPublished in: SIAM/ASA J. Uncertain. Quantification (2020)
Keyphrases
- gaussian process
- gaussian processes
- gaussian process classification
- covariance function
- gaussian process regression
- reproducing kernel hilbert space
- regression model
- hyperparameters
- bayesian framework
- latent variables
- model selection
- semi supervised
- expectation propagation
- support vector
- approximate inference
- gaussian process models
- marginal likelihood
- sparse approximations
- feature space
- data mining
- machine learning
- kernel methods
- cross validation
- decision trees
- kernel function
- data sets
- closed form