Using heavy-tailed distributions to stress-test kernel methods for segregating the .rms that are likely to survive.

Aziz Guergachi Pouyan Hosseinizadeh

Published in: SMC (2009)

Keyphrases

kernel methods
heavy tailed distributions
machine learning
kernel function
learning problems
support vector

learning tasks
feature space
similarity function
kernel matrices
kernel matrix
support vector machine

kernel parameters
kernel trick
neural network
kernel pca
kernel learning

multiple kernel
reproducing kernel hilbert space
kernel fisher discriminant analysis
graph kernels
learning algorithm