Grouped Transformations and Regularization in High-Dimensional Explainable ANOVA Approximation.
Felix BartelDaniel PottsMichael SchmischkePublished in: SIAM J. Sci. Comput. (2022)
Keyphrases
- high dimensional
- low dimensional
- statistically significant
- high dimensional data
- data points
- approximation algorithms
- similarity search
- error bounds
- dimensionality reduction
- statistical analysis
- multi dimensional
- closed form
- feature space
- conjugate gradient algorithm
- sparse approximation
- high dimensional problems
- numerical scheme
- regularization method
- approximation error
- high dimensional spaces
- parameter selection
- regularization parameter
- sparse coding
- variable selection
- prior information
- microarray data
- tikhonov regularization
- kernel function