Sparse neural network regression with variable selection.
Jae-Kyung ShinKwan-Young BakJa-Yong KooPublished in: Comput. Intell. (2022)
Keyphrases
- variable selection
- neural network
- group lasso
- high dimensional
- model selection
- linear models
- regression model
- cross validation
- sparsity inducing
- stepwise regression
- proportional hazards model
- sparse regression
- input variables
- structured sparsity
- regression problems
- relevance vector machine
- dimension reduction
- high dimensional data
- sparse representation
- logistic regression models
- pattern recognition
- prediction model
- linear regression
- ls svm
- compressive sensing
- gaussian processes
- neural network model
- gaussian process
- genetic algorithm
- fuzzy logic
- canonical correlation analysis
- feature selection and classification
- sparse learning
- elastic net
- feature space
- high dimensionality