Optimizing kernel methods for Poisson integrals on a uniform grid.
Dor GabayAmir BoagAmir NatanPublished in: Comput. Phys. Commun. (2017)
Keyphrases
- kernel methods
- kernel function
- learning problems
- kernel matrix
- support vector
- feature space
- machine learning
- support vector machine
- learning tasks
- reproducing kernel hilbert space
- multiple kernel learning
- kernel matrices
- closed form
- kernel ridge regression
- high dimensional feature space
- kernel parameters
- loss function
- neural network
- high dimensional
- face recognition
- image processing
- kernel pca
- graph kernels
- kernel fisher discriminant analysis