Efficient dimension reduction and surrogate-based sensitivity analysis for expensive models with high-dimensional outputs.
Min LiRuoqian WangGaofeng JiaPublished in: Reliab. Eng. Syst. Saf. (2020)
Keyphrases
- sensitivity analysis
- dimension reduction
- high dimensional
- high dimensional problems
- low dimensional
- influence diagrams
- high dimensionality
- managerial insights
- feature extraction
- high dimensional data
- variable selection
- feature space
- principal component analysis
- dimensionality reduction
- variational inequalities
- manifold learning
- dimension reduction methods
- preprocessing
- pattern recognition
- computer vision
- random projections
- feature selection
- high dimensional data analysis
- singular value decomposition
- similarity search
- unsupervised learning
- least squares
- partial least squares
- nearest neighbor
- data points
- active learning
- pairwise
- image processing