RMFGP: Rotated Multi-fidelity Gaussian process with Dimension Reduction for High-dimensional Uncertainty Quantification.
Jiahao ZhangShiqi ZhangGuang LinPublished in: CoRR (2022)
Keyphrases
- dimension reduction
- gaussian process
- high dimensional
- low dimensional
- high dimensional problems
- gaussian processes
- high dimensionality
- high dimensional data
- variable selection
- bayesian framework
- dimensionality reduction
- regression model
- semi supervised
- model selection
- principal component analysis
- hyperparameters
- manifold learning
- feature extraction
- latent variables
- feature space
- latent space
- singular value decomposition
- nearest neighbor
- data points
- feature selection
- cluster analysis
- cross validation
- lower dimensional
- maximum a posteriori
- microarray
- unsupervised learning
- random sampling
- preprocessing
- pattern recognition