Kernel Methods Applied to Time Series Forecasting.

Ginés Rubio Héctor Pomares Luis Javier Herrera Ignacio Rojas

Published in: IWANN (2007)

Keyphrases

kernel methods
machine learning
kernel function
learning problems
support vector
feature space
gaussian kernel
learning tasks
learning theory
real world
support vector machine
similarity function
kernel pca
artificial neural networks
high dimensional feature space
kernel parameters
kernel ridge regression