Login / Signup

Improving the kernel regularized least squares method for small-sample regression.

Igor BragaMaria Carolina Monard
Published in: Neurocomputing (2015)
Keyphrases
  • regularized least squares
  • small sample
  • support vector
  • data sets
  • pairwise
  • em algorithm
  • model selection
  • energy function
  • reproducing kernel hilbert space