Enabling High-Dimensional Hierarchical Uncertainty Quantification by ANOVA and Tensor-Train Decomposition.
Zheng ZhangXiu YangIvan V. OseledetsGeorge E. KarniadakisLuca DanielPublished in: CoRR (2014)
Keyphrases
- high dimensional
- dimensionality reduction
- hierarchical decomposition
- tensor decomposition
- low dimensional
- nearest neighbor
- multi dimensional
- hierarchical structure
- higher order
- similarity search
- statistically significant
- high order
- decomposition methods
- uncertain data
- statistical significance
- feature space
- hierarchical model
- parameter space
- visual data
- sample size
- statistical analysis
- statistical tests
- input space
- decision theory
- independent variables
- high dimensional data
- high dimensional problems
- tensor product
- probabilistic model
- tensor space