ET-Lasso: Efficient Tuning of Lasso for High-Dimensional Data.
Songshan YangJiawei WenXiang ZhanDaniel KiferPublished in: CoRR (2018)
Keyphrases
- high dimensional data
- variable selection
- sparse representation
- high dimensional
- low dimensional
- dimensionality reduction
- nearest neighbor
- subspace clustering
- high dimensions
- high dimensionality
- feature selection
- dimension reduction
- linear regression
- data sets
- linear discriminant analysis
- cross validation
- data points
- input space
- model selection
- clustering high dimensional data
- data analysis
- least squares
- similarity search
- high dimensional spaces
- lower dimensional
- high dimensional datasets
- data distribution
- original data
- multi dimensional
- low rank
- query processing
- regression problems
- manifold learning
- high dimensional data sets
- semi supervised
- input data
- subspace learning
- locally linear embedding