Superconvergent Nyström and degenerate kernel methods for eigenvalue problems.
Chafik AllouchPaul SablonnièreDriss SbibihM. TahrichiPublished in: Appl. Math. Comput. (2011)
Keyphrases
- kernel methods
- eigenvalue problems
- kernel matrix
- kernel function
- support vector
- semidefinite programming
- learning problems
- machine learning
- support vector machine
- spectral clustering
- kernel matrices
- feature space
- eigendecomposition
- reproducing kernel hilbert space
- learning tasks
- kernel pca
- low rank approximation
- polynomial equations
- kernel ridge regression
- positive definite
- multiple kernel learning
- kernel fisher discriminant analysis
- decision trees
- feature selection