Lazy lasso for local regression.
Diego VidaurreConcha BielzaPedro LarrañagaPublished in: Comput. Stat. (2012)
Keyphrases
- linear regression
- ridge regression
- model selection
- regression coefficients
- regression model
- generalized linear models
- regression methods
- group lasso
- least squares
- regression method
- regression problems
- locally weighted
- sparse representation
- cross validation
- variable selection
- feature selection
- regularized regression
- neural network
- support vector regression
- regression algorithm
- lazy learning
- multiply sectioned bayesian networks
- high dimensional
- elastic net
- sample size
- gaussian process regression
- genetic programming
- case based reasoning
- logistic regression
- regression function
- multi objective
- evolutionary algorithm
- ls svm
- aggregating algorithm
- support vector
- regression analysis
- regularization parameter