Risk Convergence of Centered Kernel Ridge Regression with Large Dimensional Data.
Khalil ElkhalilAbla KammounXiangliang ZhangMohamed-Slim AlouiniTareq Y. Al-NaffouriPublished in: ICASSP (2020)
Keyphrases
- dimensional data
- kernel ridge regression
- multi dimensional
- high dimensional
- gradient boosting
- high dimensional data
- kernel methods
- parameter selection
- data sets
- data points
- r tree
- feature extraction
- dimensionality reduction
- index structure
- sparse representation
- kernel matrix
- support vector
- nearest neighbor
- model selection
- kernel function
- loss function
- indexing structure
- databases