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» Boosting the Area under the ROC Curve
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NIPS
2007
13 years 6 months ago
Boosting the Area under the ROC Curve
We show that any weak ranker that can achieve an area under the ROC curve slightly better than 1/2 (which can be achieved by random guessing) can be effi
Philip M. Long, Rocco A. Servedio
BMCBI
2010
126views more  BMCBI 2010»
13 years 4 months ago
A boosting method for maximizing the partial area under the ROC curve
Background: The receiver operating characteristic (ROC) curve is a fundamental tool to assess the discriminant performance for not only a single marker but also a score function c...
Osamu Komori, Shinto Eguchi
ROCAI
2004
Springer
13 years 10 months ago
Optimizing Area Under Roc Curve with SVMs
For many years now, there is a growing interest around ROC curve for characterizing machine learning performances. This is particularly due to the fact that in real-world problems ...
Alain Rakotomamonjy
ROCAI
2004
Springer
13 years 10 months ago
Learning Mixtures of Localized Rules by Maximizing the Area Under the ROC Curve
We introduce a model class for statistical learning which is based on mixtures of propositional rules. In our mixture model, the weight of a rule is not uniform over the entire ins...
Tobias Sing, Niko Beerenwinkel, Thomas Lengauer
ICPR
2002
IEEE
14 years 5 months ago
Relationship between Identification Metrics: Expected Confusion and Area Under a ROC Curve
The mathematical relationship between the expectedconfusion metric and the area under a receiver operating characteristic (ROC) curve is derived. Given a limited database of subje...
Amos Y. Johnson, Aaron F. Bobick