An approach for constructing parsimonious generalized Gaussian kernel regression models.
Xunxian WangSheng ChenDavid J. BrownPublished in: Neurocomputing (2004)
Keyphrases
- regression model
- gaussian kernel
- scale space
- reproducing kernel hilbert space
- kernel methods
- rbf network
- gaussian process
- support vector machine
- diffusion equation
- optimal parameters
- model selection
- linear model
- support vector regression
- gaussian model
- riemannian manifolds
- prediction model
- zero crossing
- multiscale
- neural network
- neural network model
- probabilistic model
- machine learning