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» A Case Study in the use of ROC curves for Algorithm Design
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BMVC
2001
13 years 7 months ago
A Case Study in the use of ROC curves for Algorithm Design
We describe the development of a vision system to detect natural events in a low-resolution image stream. The work involves the assessment of algorithmic design decisions to maxim...
Paul A. Bromiley, Patrick Courtney, Neil A. Thacke...
BMCBI
2011
13 years 12 days ago
pROC: an open-source package for R and S+ to analyze and compare ROC curves
Background: Receiver operating characteristic (ROC) curves are useful tools to evaluate classifiers in biomedical and bioinformatics applications. However, conclusions are often r...
Xavier Robin, Natacha Turck, Alexandre Hainard, Na...
ICDM
2006
IEEE
182views Data Mining» more  ICDM 2006»
13 years 11 months ago
Active Learning to Maximize Area Under the ROC Curve
In active learning, a machine learning algorithm is given an unlabeled set of examples U, and is allowed to request labels for a relatively small subset of U to use for training. ...
Matt Culver, Kun Deng, Stephen D. Scott
BMCBI
2010
126views more  BMCBI 2010»
13 years 5 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
ICML
2006
IEEE
14 years 6 months ago
The relationship between Precision-Recall and ROC curves
Receiver Operator Characteristic (ROC) curves are commonly used to present results for binary decision problems in machine learning. However, when dealing with highly skewed datas...
Jesse Davis, Mark Goadrich