Hi-LASSO: High-Dimensional LASSO.
Youngsoon KimJie HaoTejaswini MallavarapuJong Hyuk ParkMingon KangPublished in: IEEE Access (2019)
Keyphrases
- variable selection
- high dimensional
- generalized linear models
- feature selection
- group lasso
- linear regression
- sparse representation
- cross validation
- least squares
- regression coefficients
- dimension reduction
- model selection
- logistic regression
- high dimensionality
- ridge regression
- sample size
- metric space
- regularization parameter
- multi modal
- low dimensional
- nearest neighbor
- elastic net
- pattern recognition
- neural network
- regularized regression
- multi task
- regression model
- dimensionality reduction
- multi objective
- object recognition
- decision trees
- search engine