ANOVA Gaussian process modeling for high-dimensional stochastic computational models.
Chen ChenQifeng LiaoPublished in: CoRR (2019)
Keyphrases
- computational models
- gaussian process
- computational modeling
- computational model
- high dimensional
- gaussian processes
- gaussian process models
- cognitive modeling
- cognitive modelling
- dynamical models
- regression model
- bayesian framework
- gaussian process regression
- model selection
- approximate inference
- language acquisition
- latent variables
- gaussian process classification
- hyperparameters
- latent space
- sample size
- covariance function
- image reconstruction
- low dimensional
- expectation propagation
- semi supervised
- sparse approximations
- data sets
- dimensionality reduction
- feature space
- clustering algorithm
- feature selection