An efficient dimension reduction for the Gaussian process emulation of two nested codes with functional outputs.
Sophie Marque-PucheuGuillaume PerrinJosselin GarnierPublished in: Comput. Stat. (2020)
Keyphrases
- dimension reduction
- gaussian process
- gaussian processes
- gaussian process regression
- bayesian framework
- regression model
- principal component analysis
- manifold learning
- semi supervised
- linear discriminant analysis
- feature extraction
- high dimensional
- model selection
- low dimensional
- high dimensionality
- hyperparameters
- latent variables
- feature space
- singular value decomposition
- cluster analysis
- high dimensional data
- unsupervised learning
- feature selection
- dimensionality reduction
- closed form
- neural network
- generative model
- preprocessing