High-Dimensional Uncertainty Quantification via Active and Rank-Adaptive Tensor Regression.
Zichang HeZheng ZhangPublished in: CoRR (2020)
Keyphrases
- high dimensional
- dimensionality reduction
- high order
- multi dimensional
- multi variate
- higher order
- sparse data
- low dimensional
- regression model
- generalized linear models
- model selection
- dimension reduction
- high dimensionality
- diffusion tensor
- uncertain data
- linear regression
- missing data
- high dimensional data
- data sets
- noisy data
- parameter space
- matrix factorization
- decision theory
- medical images
- nearest neighbor
- reproducing kernel hilbert space
- regression algorithm
- regression function
- feature selection
- search engine