Discovery of Sets and Representatives of Variables in Co-nonlinear Relationships by Neural Network Regression and Group Lasso.
Miho OhsakiHayato SasakiNaoya KishimotoShigeru KatagiriPatrick Hang Hui ThenPublished in: BIBM (2018)
Keyphrases
- group lasso
- regression coefficients
- variable selection
- regression model
- neural network
- explanatory variables
- linear models
- model selection
- contingency tables
- multiple kernel learning
- efficient optimization
- multi task
- multi label learning
- cross validation
- regression analysis
- regression problems
- low rank
- regularization term
- convex optimization
- predictor variables
- multi task learning
- response variable
- causal relationships
- regularization parameter
- linear model
- linear regression
- genetic programming
- pairwise
- machine learning