Diversity Sampling is an Implicit Regularization for Kernel Methods.

Michaël Fanuel Joachim Schreurs Johan A. K. Suykens

Published in: SIAM J. Math. Data Sci. (2021)

Keyphrases

kernel methods
reproducing kernel hilbert space
kernel ridge regression
kernel matrices
kernel function
reproducing kernel
learning problems
svm training

kernel matrix
machine learning
support vector
support vector machine
feature space
kernel machines
tikhonov regularization
learning tasks

rademacher complexity
random sampling
multiple kernel learning
multiple kernel
kernel trick
image processing
high dimensional feature space
graph kernels

kernel pca
high dimensional
generalization bounds
regularization parameter
sample size
semi supervised
knn
kernel based clustering