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» On Bootstrapping the ROC Curve
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IDEAL
2007
Springer
14 years 1 months ago
Out of Bootstrap Estimation of Generalization Error Curves in Bagging Ensembles
The dependence of the classification error on the size of a bagging ensemble can be modeled within the framework of Monte Carlo theory for ensemble learning. These error curves ar...
Daniel Hernández-Lobato, Gonzalo Mart&iacut...
CSDA
2008
110views more  CSDA 2008»
13 years 7 months ago
Bootstrap confidence intervals for principal response curves
The principal response curve (PRC) model is of use to analyse multivariate data resulting from experiments involving repeated sampling in time. The time-dependent treatment effect...
Marieke E. Timmerman, Cajo J. F. ter Braak
DATAMINE
2008
112views more  DATAMINE 2008»
13 years 7 months ago
PRIE: a system for generating rulelists to maximize ROC performance
Rules are commonly used for classification because they are modular, intelligible and easy to learn. Existing work in classification rule learning assumes the goal is to produce ca...
Tom Fawcett
IS
2010
13 years 6 months ago
ROC analysis of a fatigue classifier for vehicular drivers
— Few systems have been developed for the detection of fatigue / stress level of a vehicular driver in order to monitor and control the alertness level for preventing road accide...
Mahesh M. Bundele, Rahul Banerjee
CVIU
2007
240views more  CVIU 2007»
13 years 7 months ago
Objective evaluation of approaches of skin detection using ROC analysis
Skin detection is an important indicator of human presence and actions in many domains, including interaction, interfaces and security. It is commonly performed in three steps: tr...
Stephen Schmugge, Sriram Jayaram, Min C. Shin, Leo...