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

  1. Jarabo-Amores, M.-P.
  2. Rosa-Zurera, M.
  3. Gil-Pita, R.
  4. Lopez-Ferreras, F.
Journal:
IEEE Transactions on Signal Processing

ISSN: 1053-587X

Year of publication: 2009

Volume: 57

Issue: 11

Pages: 4175-4181

Type: Article

DOI: 10.1109/TSP.2009.2025077 GOOGLE SCHOLAR
Data source: Scopus