Global sensitivity analysis using low-rank tensor approximations.
Katerina KonakliBruno SudretPublished in: Reliab. Eng. Syst. Saf. (2016)
Keyphrases
- sensitivity analysis
- low rank
- trace norm
- high order
- frobenius norm
- tensor decomposition
- linear combination
- managerial insights
- missing data
- matrix factorization
- convex optimization
- matrix completion
- singular value decomposition
- low rank matrix
- semi supervised
- rank minimization
- kernel matrix
- matrix decomposition
- high dimensional data
- low rank matrices
- higher order
- singular values
- robust principal component analysis
- minimization problems
- data matrix
- nonnegative matrix factorization
- low rank approximation
- decision variables
- tensor factorization
- data sets
- dimensionality reduction
- active learning
- image processing
- feature selection