Advance in Neyman-Pearson Neural Detectors design

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 2687, Issue , 2003, Pages 249-256

  Andina, Diego ^a   Torres Alegre, Santiago ^a   Vega Corona, Antonio ^a   Álvarez Vellisco, Antonio ^a  

^a UNIVERSIDAD POLITÉCNICA DE MADRID   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

IMPORTANCE SAMPLING; PROBABILITY; MONTE CARLO METHODS; NEURAL NETWORKS;

DESIGN PHASE; ERROR PROBABILITIES; EVENT PROBABILITY; FALSE ALARM PROBABILITY; MONTE CARLO TECHNIQUES; MONTE CARLO TRIALS; NEYMAN-PEARSON; PERFORMANCE PARAMETERS; IMPORTANCE SAMPLING; MONTE CARLO;

MONTE CARLO METHODS; PROBABILITY;

EID: 35248849728     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-44869-1_32     Document Type: Article

References (12)

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