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» On Bootstrapping the ROC Curve
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ICPR
2010
IEEE
13 years 7 months ago
The Binormal Assumption on Precision-Recall Curves
—The precision-recall curve (PRC) has become a widespread conceptual basis for assessing classification performance. The curve relates the positive predictive value of a classi...
Kay Henning Brodersen, Cheng Soon Ong, Klaas Enno ...
ICML
2009
IEEE
14 years 2 months ago
Nonparametric estimation of the precision-recall curve
The Precision-Recall (PR) curve is a widely used visual tool to evaluate the performance of scoring functions in regards to their capacities to discriminate between two population...
Stéphan Clémençon, Nicolas Va...
ECML
2007
Springer
14 years 1 months ago
An Improved Model Selection Heuristic for AUC
Abstract. The area under the ROC curve (AUC) has been widely used to measure ranking performance for binary classification tasks. AUC only employs the classifier’s scores to ra...
Shaomin Wu, Peter A. Flach, Cèsar Ferri Ram...
MCS
2007
Springer
14 years 1 months ago
Index Driven Combination of Multiple Biometric Experts for AUC Maximisation
A biometric system produces a matching score representing the degree of similarity of the input with the set of templates for that user. If the score is greater than a prefixed th...
Roberto Tronci, Giorgio Giacinto, Fabio Roli
ICPR
2010
IEEE
13 years 10 months ago
How to Control Acceptance Threshold for Biometric Signatures with Different Confidence Values?
In the biometric verification, authentication is given when a distance of biometric signatures between enrollment and test phases is less than an acceptance threshold, and the perf...
Yasushi Makihara, Md. Altab Hossain, Yasushi Yagi