Multi-level Lasso for Sparse Multi-task Regression.
Aurelie C. LozanoGrzegorz SwirszczPublished in: ICML (2012)
Keyphrases
- sparse representation
- regularized regression
- elastic net
- group lasso
- generalized linear models
- high dimensional
- sparse data
- basis pursuit
- linear regression
- compressed sensing
- least squares
- regression model
- variable selection
- dictionary learning
- compressive sensing
- feature selection
- ridge regression
- low rank
- data sets
- sparse coding
- logistic regression
- topology preserving
- model selection
- image classification
- principal component analysis
- image processing
- cross validation