Efficient AUC Optimization for Classification-Reference-Cited by-同舟云学术

Efficient AUC Optimization for Classification

Published: Issue: Volume: Page:42-53
ISSN:0302-9743
Container-title:Knowledge Discovery in Databases: PKDD 2007
language:
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Author:

Calders Toon,Jaroszewicz Szymon

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-540-74976-9_8.pdf

Reference10 articles.

1. Ataman, K., Street, W.N., Zhang, Y.: Learning to rank by maximizing auc with linear programming. In: IJCNN 2006. IEEE International Joint Conference on Neural Networks, pp. 123–129. IEEE Computer Society Press, Los Alamitos (2006)

2. Bradley, A.P.: Use of the area under the ROC curve in the evaluation of machine learning algorithms. Pattern Recognition 30(7), 1145–1159 (1997)

3. Brefeld, U., Scheffer, T.: AUC Maximizing Support Vector Learning. In: Proc. ICML workshop on ROC Analysis in Machine Learning (2005)

4. Cortes, C., Mohri, M.: Auc optimization vs. error rate minimization. In: Advances in Neural Information Processing Systems, vol. 16, MIT Press, Cambridge (2004)

5. Ferri, C., Flach, P., Hernandez-Orallo, J.: Learning decision trees using the area under the ROC curve. In: ICML, pp. 139–146 (2002)

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