Safe feature screening rules for the regularized Huber regression.
Huangyue ChenLingchen KongPan ShangShanshan PanPublished in: Appl. Math. Comput. (2020)
Keyphrases
- regression model
- feature vectors
- association rules
- image analysis
- image features
- regression problems
- association rule mining
- feature set
- gaussian processes
- linear regression
- loss function
- least squares
- polynomial regression
- locally weighted
- domain experts
- estimation problems
- supervised feature selection
- classification rules
- decision rules
- neural network
- feature extraction
- machine learning