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Large-scale random features for kernel regression.

Valero LaparraDiego Marcos GonzalezDevis TuiaGustau Camps-Valls
Published in: IGARSS (2015)
Keyphrases
  • kernel regression
  • feature extraction
  • feature set
  • multi objective
  • regression model
  • nadaraya watson
  • neural network
  • feature vectors
  • optimization algorithm
  • machine learning
  • simulated annealing
  • random fields