Regularization for Regression Models Based on the K-Functional with Besov Norm.
Imhoi KooRhee Man KilPublished in: ISNN (1) (2007)
Keyphrases
- regression model
- group lasso
- norm regularization
- mixed norm
- regularization methods
- gaussian process
- regression analysis
- model selection
- explanatory variables
- linear model
- regression methods
- generalized linear models
- multivariate regression
- prediction model
- regularization method
- regression trees
- linear regression model
- software engineering
- multiple linear regression
- survival analysis
- canonical correlation analysis
- regression method
- convex optimization
- neural network
- trace norm
- generalized linear
- total variation
- loss function
- interval valued data