De-noising boosting methods for variable selection and estimation subject to error-prone variables.
Li-Pang ChenPublished in: Stat. Comput. (2023)
Keyphrases
- variable selection
- error prone
- cross validation
- input variables
- linear models
- number of input variables
- model selection
- preprocessing
- feature selection
- dimension reduction
- linear regression
- pattern recognition
- stepwise regression
- high dimensional
- active learning
- denoising
- neural network
- training data
- image processing
- logistic regression models
- data mining