An Empirical Study on The Properties of Random Bases for Kernel Methods.
Maximilian AlberPieter-Jan KindermansKristof SchüttKlaus-Robert MüllerFei ShaPublished in: NIPS (2017)
Keyphrases
- kernel methods
- kernel function
- support vector
- feature space
- support vector machine
- learning problems
- machine learning
- learning tasks
- kernel matrix
- reproducing kernel hilbert space
- similarity function
- gaussian kernel
- kernel pca
- high dimensional feature space
- kernel ridge regression
- kernel matrices
- kernel trick
- kernel parameters
- learning frameworks
- similarity measure