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Kernel learning as minimization of the single validation estimate.

Maxime SangnierJérôme GauthierAlain Rakotomamonjy
Published in: MLSP (2014)
Keyphrases
  • kernel learning
  • kernel function
  • dimensionality reduction
  • support vector regression
  • kernel matrix
  • decision trees
  • pairwise
  • classification accuracy
  • small number
  • learning tasks
  • semidefinite program