Semi-supervised Kernel Regression Using Whitened Function Classes.

Matthias O. Franz Younghee Kwon Carl Edward Rasmussen Bernhard Schölkopf

Published in: DAGM-Symposium (2004)

Keyphrases

kernel regression
semi supervised
function classes
vc dimension
data dependent
semi supervised learning
regression model
generalization bounds

learning problems
supervised learning
labeled data
active learning
learning algorithm
sample complexity
unlabeled data
special case

pairwise
regression methods
unsupervised learning
parameter optimization
real valued functions
linear functions
linear regression
metric learning

reproducing kernel hilbert space
learning theory
generalization ability
inductive inference
support vector machine
cross validation
high dimensional
neural network