Regularized Multivariate Analysis Framework for Interpretable High-Dimensional Variable Selection.
Sergio Muñoz-RomeroVanessa Gómez-VerdejoJerónimo Arenas-GarcíaPublished in: IEEE Comput. Intell. Mag. (2016)
Keyphrases
- variable selection
- high dimensional
- sparsity inducing
- cross validation
- dimension reduction
- input variables
- model selection
- group lasso
- linear models
- high dimensionality
- high dimensional data analysis
- low dimensional
- gene expression
- dimensionality reduction
- stochastic search
- image processing
- feature selection
- machine learning