Robustness of kernel based regression: Influence and weight functions.
Kris De BrabanterJos De BrabanterJohan A. K. SuykensJoos VandewalleBart De MoorPublished in: IJCNN (2012)
Keyphrases
- support vector
- sparse kernel
- kernel ridge regression
- regression model
- basis functions
- support vector machine
- linear regression
- weighting scheme
- regression problems
- ridge regression
- real time
- model selection
- kernel methods
- support vector regression
- regression analysis
- social influence
- factors influencing
- nonlinear functions
- partial least squares
- regression method