An experimental comparison of cross-validation techniques for estimating the area under the ROC curve-Reference-Cited by-同舟云学术

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An experimental comparison of cross-validation techniques for estimating the area under the ROC curve

Published:2011-04 Issue:4 Volume:55 Page:1828-1844
ISSN:0167-9473
Container-title:Computational Statistics & Data Analysis
language:en
Short-container-title:Computational Statistics & Data Analysis

Author:

Airola Antti,Pahikkala Tapio,Waegeman Willem,De Baets Bernard,Salakoski Tapio

Publisher

Elsevier BV

Subject

Applied Mathematics,Computational Theory and Mathematics,Computational Mathematics,Statistics and Probability

Reference47 articles.

1. Generalization bounds for the area under the ROC curve;Agarwal;Journal of Machine Learning Research,2005

2. A comparison of AUC estimators in small-sample studies;Airola,2009

3. All-paths graph kernel for protein–protein interaction extraction with evaluation of cross-corpus learning;Airola;BMC Bioinformatics,2008

4. Fast cross-validation algorithms for least squares support vector machine and kernel ridge regression;An;Pattern Recognition,2007

5. Identifying genes that contribute most to good classification in microarrays;Baker;BMC Bioinformatics,2006

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