Feature Screening for High-Dimensional Variable Selection in Generalized Linear Models.
Jinzhu JiangJunfeng ShangPublished in: Entropy (2023)
Keyphrases
- variable selection
- high dimensional
- generalized linear models
- regression model
- input variables
- logistic regression
- model selection
- cross validation
- low dimensional
- dimensionality reduction
- dimension reduction
- high dimensionality
- feature vectors
- feature space
- linear regression
- high dimensional data
- data points
- feature selection
- least squares
- data sets
- nearest neighbor
- image segmentation
- image processing