Sensitivity analysis based dimension reduction of multiscale models.
Anna NikishovaGiovanni E. ComiAlfons G. HoekstraPublished in: Math. Comput. Simul. (2020)
Keyphrases
- sensitivity analysis
- dimension reduction
- multiscale
- feature extraction
- influence diagrams
- managerial insights
- principal component analysis
- variational inequalities
- data mining and machine learning
- high dimensional
- probabilistic model
- random projections
- manifold learning
- singular value decomposition
- image processing
- high dimensional problems
- high dimensionality
- high dimensional data
- clustering method
- text mining
- image segmentation
- unsupervised learning
- model selection
- discriminative information
- feature space
- learning algorithm
- high dimensional data analysis