Scalable kernel-based variable selection with sparsistency.
Xin HeJunhui WangShaogao LvPublished in: CoRR (2018)
Keyphrases
- variable selection
- cross validation
- input variables
- high dimensional
- linear models
- stochastic search
- dimension reduction
- model selection
- high dimensional data
- feature selection
- support vector
- low dimensional
- dimensionality reduction
- object recognition
- group lasso
- ensemble selection
- high dimensionality
- artificial neural networks
- preprocessing
- neural network
- logistic regression models
- number of input variables