Evaluation of the logarithmic-sensitivity index as a neural network stopping criterion for rare outcomes

Proceedings of the IEEE/EMBS Region 8 International Conference on Information Technology Applications in Biomedicine, ITAB

Volumn 2003-January, Issue , 2003, Pages 207-210

  Ennett, C M ^a   Frize, M ^a,b   Scales, N ^a  

^a CARLETON UNIVERSITY   (Canada)

^b UNIVERSITY OF OTTAWA   (Canada)

Author keywords

classification.; Neural network; pattern recognition; stopping criteria

Indexed keywords

AUTOMATION; CLASSIFICATION (OF INFORMATION); MEAN SQUARE ERROR; PATTERN RECOGNITION;

CLASSIFICATION PERFORMANCE; CLASSIFICATION RATES; MEAN SQUARED ERROR; OPTIMAL STOPPING; SENSITIVITY AND SPECIFICITY; SENSITIVITY INDICES; STOPPING CRITERIA; USER SUPERVISIONS;

NEURAL NETWORKS;

EID: 84942411325     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ITAB.2003.1222512     Document Type: Conference Paper

References (11)

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