Classifier performance estimation under the constraint of a finite sample size: Resampling schemes applied to neural network classifiers

Neural Networks

Volumn 21, Issue 2-3, 2008, Pages 476-483

  Sahiner, Berkman ^a   Chan, Heang Ping ^a   Hadjiiski, Lubomir ^a  

^a UNIVERSITY OF MICHIGAN MEDICAL SCHOOL   (United States)

Author keywords

Finite sample size; Performance estimation; Resampling

Indexed keywords

COMPUTER SIMULATION; CONSTRAINT THEORY; DATA STRUCTURES; PROBLEM SOLVING;

BOOTSTRAPPING; FINITE SAMPLE SIZE; PERFORMANCE ESTIMATION; RESAMPLING;

NEURAL NETWORKS;

ACCURACY; AREA UNDER THE CURVE; ARTICLE; BOOTSTRAPPING; CLASSIFIER; MONTE CARLO METHOD; NERVE CELL NETWORK; PERFORMANCE; PRIORITY JOURNAL; RECEIVER OPERATING CHARACTERISTIC; SAMPLE SIZE;

AREA UNDER CURVE; COMPUTER SIMULATION; HUMANS; MONTE CARLO METHOD; NEURAL NETWORKS (COMPUTER); SAMPLE SIZE; STATISTICS AS TOPIC;

EID: 40649089855     PISSN: 08936080     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neunet.2007.12.012     Document Type: Article

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