207 search results - page 3 / 42 » On Bootstrapping the ROC Curve |
ROCAI
2004
Springer
13 years 10 months ago
2004
Springer
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 ...
ICIP
1999
IEEE
14 years 6 months ago
1999
IEEE
Performances evaluation of image processing intermediate results in video based surveillance systems is extremely important due to the variety of approaches to this task. In this ...
JMLR
2006
13 years 4 months ago
2006
Receiver Operating Characteristic (ROC) curves are a standard way to display the performance of a set of binary classifiers for all feasible ratios of the costs associated with fa...
MLDM
2007
Springer
13 years 11 months ago
2007
Springer
Recursive Feature Elimination (RFE) combined with feature ranking is an effective technique for eliminating irrelevant features when the feature dimension is large, but it is diffi...
ICPR
2002
IEEE
14 years 5 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...