Coupled Input-Output Dimension Reduction: Application to Goal-oriented Bayesian Experimental Design and Global Sensitivity Analysis.
Qiao ChenElise ArnaudRicardo BaptistaOlivier ZahmPublished in: CoRR (2024)
Keyphrases
- input output
- sensitivity analysis
- dimension reduction
- goal oriented
- experimental design
- influence diagrams
- high dimensional
- managerial insights
- singular value decomposition
- principal component analysis
- high dimensional data
- low dimensional
- dimensionality reduction
- linear discriminant analysis
- active learning
- preprocessing
- feature extraction
- unsupervised learning
- special case
- learning algorithm
- cluster analysis
- high dimensionality