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Learning general Gaussian kernel hyperparameters of SVMs using optimization on symmetric positive-definite matrices manifold.

Hicham LaanayaFahed AbdallahHichem SnoussiCédric Richard
Published in: Pattern Recognit. Lett. (2011)
Keyphrases
  • support vector
  • learning algorithm
  • hyperparameters
  • high dimensional
  • supervised learning
  • sample size
  • random sampling
  • gaussian process