High Dimensional Uncertainty Quantification for an Electrothermal Field Problem using Stochastic Collocation on Sparse Grids and Tensor Train Decomposition.
Dimitrios LoukrezisUlrich RömerThorben CasperSebastian SchöpsHerbert De GersemPublished in: CoRR (2016)
Keyphrases
- high dimensional
- tensor decomposition
- dimensionality reduction
- sparse data
- stochastic nature
- high order
- low dimensional
- data representation
- generalized linear models
- feature space
- similarity search
- nearest neighbor
- variable selection
- sparse coding
- multi dimensional
- support vector
- stochastic simulation
- tensor factorization
- uncertain data
- data points
- high dimensionality
- decomposition method
- high dimension
- co occurrence
- parameter space
- high dimensional data
- natural images
- principal component analysis
- bayesian networks
- data sets