Coefficient-based lq-regularized regression with indefinite kernels and unbounded sampling.

Qin Guo Cheng Wang Peixin Ye

Published in: J. Approx. Theory (2018)

Keyphrases

regularized regression
elastic net
random sampling
multiple kernel learning
kernel function
support vector
kernel methods
sample size
low rank
image segmentation
feature space
model selection