Refining Kernels for Regression and Uneven Classification Problems.
Jaz S. KandolaJohn Shawe-TaylorPublished in: AISTATS (2003)
Keyphrases
- support vector machines for classification
- reproducing kernel hilbert space
- gaussian processes
- support vector
- kernel ridge regression
- regression model
- mercer kernels
- gaussian kernels
- kernel function
- kernel methods
- linear regression
- support vector regression
- kernel learning
- ridge regression
- simple linear
- multiple kernel learning
- regression problems
- gaussian kernel
- loss function
- model selection
- regression function
- regression analysis
- logistic regression
- graph kernels
- gaussian process regression
- polynomial regression
- locally weighted
- feature space
- special case
- polynomial kernels
- covariance function
- multiple kernel
- linear combination
- regression methods