NNR-GL: A Measure to Detect Co-Nonlinearity Based on Neural Network Regression Regularized by Group Lasso.
Miho OhsakiNaoya KishimotoHayato SasakiRyoji IkeuraShigeru KatagiriKei OhnishiYakub SebastianPatrick H. H. ThenPublished in: IEEE Access (2021)
Keyphrases
- group lasso
- regression model
- neural network
- regression coefficients
- variable selection
- regression problems
- least squares
- efficient optimization
- multi task
- gaussian process
- model selection
- multi task learning
- linear models
- multiple kernel learning
- linear regression
- convex optimization
- contingency tables
- knn
- feature selection
- multi label learning
- total least squares