Model selection of polynomial kernel regression.
Shaobo LinXingping SunZongben XuJinshan ZengPublished in: CoRR (2015)
Keyphrases
- model selection
- kernel regression
- regression model
- cross validation
- regression methods
- hyperparameters
- nadaraya watson
- parameter estimation
- sample size
- parameter optimization
- machine learning
- selection criterion
- information criterion
- variable selection
- model selection criteria
- regression method
- feature selection
- linear regression
- higher order
- support vector regression
- graphical models
- learning algorithm