Sparse regularized local regression.
Diego VidaurreConcha BielzaPedro LarrañagaPublished in: Comput. Stat. Data Anal. (2013)
Keyphrases
- sparse regression
- sparse bayesian learning
- regression model
- regularized least squares
- relevance vector machine
- sparse linear
- linear regression
- sparsity inducing
- generalized linear models
- sparsity constraints
- covariance function
- high dimensional
- gaussian process regression
- sparse data
- regression analysis
- estimation problems
- support vector regression
- reproducing kernel hilbert space
- least squares
- gaussian processes
- sparse kernel
- objective function
- regularization method
- model selection
- polynomial regression
- feature selection and classification
- sparse representation
- sparse coding
- sparse matrix
- simple linear
- compressive sensing
- genetic programming
- sparse approximations
- linear combination
- locally weighted
- total least squares
- elastic net
- regression methods
- canonical correlation analysis
- regression method