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