A least square point of view to reproducing kernel methods to solve functional equations.
José Claudinei FerreiraMaria Caruline BaquiãoPublished in: Appl. Math. Comput. (2019)
Keyphrases
- kernel methods
- least squares
- kernel function
- learning problems
- support vector
- kernel matrix
- feature space
- learning tasks
- support vector machine
- gaussian kernel
- graph kernels
- multiple kernel learning
- reproducing kernel hilbert space
- machine learning
- kernel matrices
- kernel pca
- kernel learning
- high dimensional
- kernel ridge regression
- semidefinite programming
- similarity measure
- neural network
- kernel fisher discriminant analysis