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Study of two error functions to approximate the Neyman-pearson detector using supervised learning machines.

María-Pilar Jarabo-AmoresManuel Rosa-ZureraRoberto Gil-PitaFrancisco López-Ferreras
Published in: IEEE Trans. Signal Process. (2009)
Keyphrases
  • neyman pearson
  • learning machines
  • neural network
  • supervised learning
  • support vector machine