Deterministic Error Analysis of Support Vector Regression and Related Regularized Kernel Methods.
Christian RiegerBarbara ZwicknaglPublished in: J. Mach. Learn. Res. (2009)
Keyphrases
- kernel methods
- support vector regression
- error analysis
- kernel function
- support vector
- kernel learning
- least squares
- support vector machine
- feature space
- learning problems
- hybrid model
- multiple kernel
- kernel matrix
- support vector classification
- kernel matrices
- regression model
- error correction
- kernel trick
- input space
- learning tasks
- multiple kernel learning
- high dimensional
- kernel pca
- support vectors
- support vector machine svm
- reproducing kernel hilbert space
- nearest neighbor
- classification accuracy
- feature selection