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» Confidence Intervals for the Area Under the ROC Curve
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ICML
2006
IEEE
14 years 8 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
ML
2006
ACM
109views Machine Learning» more  ML 2006»
13 years 7 months ago
Cost curves: An improved method for visualizing classifier performance
Abstract This paper introduces cost curves, a graphical technique for visualizing the performance (error rate or expected cost) of 2-class classifiers over the full range of possib...
Chris Drummond, Robert C. Holte
FLAIRS
2008
13 years 9 months ago
Extending Nearest Neighbor Classification with Spheres of Confidence
The standard kNN algorithm suffers from two major drawbacks: sensitivity to the parameter value k, i.e., the number of neighbors, and the use of k as a global constant that is ind...
Ulf Johansson, Henrik Boström, Rikard Kö...
PRL
2008
132views more  PRL 2008»
13 years 7 months ago
Confidence based multiple classifier fusion in speaker verification
A novel framework based on Bayes-based confidence measure for Multiple Classifier System fusion is proposed. Compared with ordinary Bayesian fusion, the presented approach leads t...
Fernando Huenupán, Néstor Becerra Yo...
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