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NIPS
2001
13 years 6 months ago
Prodding the ROC Curve: Constrained Optimization of Classifier Performance
Michael C. Mozer, Robert H. Dodier, Michael D. Col...
NIPS
2008
13 years 6 months ago
Overlaying classifiers: a practical approach for optimal ranking
ROC curves are one of the most widely used displays to evaluate performance of scoring functions. In the paper, we propose a statistical method for directly optimizing the ROC cur...
Stéphan Clémençon, Nicolas Va...
ICML
2003
IEEE
14 years 5 months ago
Optimizing Classifier Performance via an Approximation to the Wilcoxon-Mann-Whitney Statistic
When the goal is to achieve the best correct classification rate, cross entropy and mean squared error are typical cost functions used to optimize classifier performance. However,...
Lian Yan, Robert H. Dodier, Michael Mozer, Richard...
BMCBI
2008
148views more  BMCBI 2008»
13 years 4 months ago
StAR: a simple tool for the statistical comparison of ROC curves
Background: As in many different areas of science and technology, most important problems in bioinformatics rely on the proper development and assessment of binary classifiers. A ...
Ismael A. Vergara, Tomás Norambuena, Evandr...
GECCO
2006
Springer
173views Optimization» more  GECCO 2006»
13 years 8 months ago
Sets of receiver operating characteristic curves and their use in the evaluation of multi-class classification
Within the last two decades, Receiver Operating Characteristic (ROC) Curves have become a standard tool for the analysis and comparison of classifiers since they provide a conveni...
Stephan M. Winkler, Michael Affenzeller, Stefan Wa...