l1-norm Penalized Orthogonal Forward Regression.
Xia HongSheng ChenYi GuoJunbin GaoPublished in: CoRR (2015)
Keyphrases
- model selection
- least squares
- regression model
- forward and backward
- linear regression
- support vector
- polynomial regression
- regression problems
- locally weighted
- loss function
- regression algorithm
- gaussian process regression
- group lasso
- gaussian processes
- maximum likelihood
- reproducing kernel hilbert space
- bi directional
- cross validation
- simple linear
- penalty term
- neural network
- regression function
- orthogonal polynomials
- ridge regression
- multiple regression
- canonical correlation analysis
- regression method
- genetic programming
- multi class
- objective function