High-Dimensional LASSO-Based Computational Regression Models: Regularization, Shrinkage, and Selection.
Frank Emmert-StreibMatthias DehmerPublished in: Mach. Learn. Knowl. Extr. (2019)
Keyphrases
- regression model
- generalized linear models
- group lasso
- high dimensional
- model selection
- regression methods
- variable selection
- prediction model
- gaussian process
- regression analysis
- linear model
- logistic regression
- regression trees
- low dimensional
- denoising
- dimension reduction
- regularization parameter
- linear regression model
- explanatory variables
- dimensionality reduction
- generalized linear
- survival analysis
- selection operator
- feature selection
- data mining
- image denoising
- target variable
- ridge regression
- nearest neighbor
- neural network