130 search results - page 3 / 26 » Optimizing Area Under Roc Curve with SVMs |
NIPS
2007
13 years 7 months ago
2007
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
ICML
2006
IEEE
14 years 6 months ago
2006
IEEE
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...
ICPR
2002
IEEE
14 years 6 months ago
2002
IEEE
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...
TWC
2010
13 years 8 days ago
2010
A simple figure of merit to describe the performance of an energy detector is desirable. The area under the receiver operating characteristic (ROC) curve, denoted (AUC), is such a ...
ICML
2002
IEEE
14 years 6 months ago
2002
IEEE
ROC analysis is increasingly being recognised as an important tool for evaluation and comparison of classifiers when the operating characteristics (i.e. class distribution and cos...