Kernel-enabled methods for subspace regression and efficient control.

Kaustubh R. Patil Abhijit Kulkarni

Published in: Int. J. Model. Identif. Control. (2008)

Keyphrases

computationally expensive
support vector
neural network
feature space
significant improvement
dimensionality reduction
linear regression
gaussian processes
preprocessing
loss function
control problems
kernel density estimation
simple linear
canonical correlation analysis
kernel ridge regression