Provably Strict Generalisation Benefit for Invariance in Kernel Methods.
Bryn ElesedyPublished in: CoRR (2021)
Keyphrases
- kernel methods
- learning problems
- kernel function
- support vector
- feature space
- support vector machine
- kernel matrix
- similarity function
- machine learning
- kernel ridge regression
- reproducing kernel hilbert space
- kernel matrices
- multiple kernel learning
- kernel fisher discriminant analysis
- high dimensional feature space
- graph kernels
- learning tasks
- kernel pca
- multiple kernel
- data sets
- maximum margin
- model selection
- worst case
- kernel trick
- kernel parameters
- feature selection
- neural network