A Posteriori Estimation of Dimension Reduction Errors for Elliptic Problems on Thin Domains.
Sergey I. RepinStefan A. SauterAnton SmolianskiPublished in: SIAM J. Numer. Anal. (2004)
Keyphrases
- dimension reduction
- high dimensional problems
- data mining and machine learning
- high dimensionality
- high dimensional
- principal component analysis
- feature selection
- high dimensional data analysis
- variable selection
- feature extraction
- high dimensional data
- linear discriminant analysis
- dimensionality reduction
- probabilistic model
- manifold learning
- random projections
- partial least squares
- low dimensional
- singular value decomposition
- decision trees
- neural network