Constructing Kernel Functions for Binary Regression.
Masashi SugiyamaHidemitsu OgawaPublished in: IEICE Trans. Inf. Syst. (2006)
Keyphrases
- kernel function
- support vector regression
- support vector
- reproducing kernel hilbert space
- regression method
- kernel methods
- feature space
- support vector machine
- input space
- regression model
- kernel matrix
- dot product
- high dimensional
- support vectors
- polynomial kernels
- kernel learning
- svm classification
- high dimensional feature space
- svm classifier
- regression methods
- gaussian kernels
- hyperplane
- feature maps
- model selection
- classification accuracy
- data sets
- positive semidefinite
- feature set
- kernel trick
- cross validation
- multiple kernel learning
- linear regression
- hyperparameters