A variable kernel function for hybrid unsupervised kernel regression.
Daniel LückeheOliver KramerPublished in: GECCO (Companion) (2014)
Keyphrases
- kernel function
- kernel regression
- support vector
- regression model
- kernel methods
- nadaraya watson
- regression methods
- support vector machine
- regression method
- feature space
- kernel learning
- support vector regression
- linear regression
- parameter optimization
- unsupervised learning
- svm classifier
- semi supervised
- high dimensional
- supervised learning
- sample size
- learning algorithm
- feature set
- similarity measure