and Risk Consistency and its Implications on Regularized Kernel Methods.
Hannes KöhlerPublished in: CoRR (2023)
Keyphrases
- kernel methods
- kernel function
- learning problems
- support vector
- kernel matrix
- feature space
- learning tasks
- support vector machine
- machine learning
- reproducing kernel hilbert space
- kernel trick
- least squares
- multiple kernel
- kernel pca
- kernel ridge regression
- kernel fisher discriminant analysis
- high dimensional
- objective function
- data sets
- kernel principal component analysis
- kernel matrices
- tikhonov regularization