A support vector method for multivariate performance measures (2005)

by Thorsten Joachims
Venue:Proceedings of the 22nd International Conference on Machine Learning
Citations:192 - 5 self

Active Bibliography

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2 Efficient Optimization of Performance Measures by Classifier Adaptation – Nan Li, Ivor W. Tsang, Zhi-hua Zhou, Senior Member
113 A support vector method for optimizing average precision – Yisong Yue, Thomas Finley - 2007
Optimizing Area Under Roc Curve with SVMs – Alain Rakotomamon Jy - 2004
12 Learning to rank by maximizing auc with linear programming – Kaan Ataman, W. Nick Street, Yi Zhang - 2006
1 Support vector machines and area under ROC curves – Alain Rakotomamonjy - 2004
8 Label Ranking Algorithms: A Survey – Shankar Vembu, Thomas Gärtner
Improved Learning of . . . : TRAINING WITH LATENT VARIABLES AND NONLINEAR KERNELS – Chun Nam Yu - 2011
1 Bagging Evolutionary ROC-based Hypotheses - Application To Terminology Extraction – Jérôme Azé, Mathieu Roche, Michèle Sebag - 2005
10 A data-dependent generalisation error bound for the AUC – Nicolas Usunier , Massih-reza Amini, Patrick Gallinari - 2005
194 The Relationship Between Precision-Recall and ROC Curves – Jesse Davis, Mark Goadrich - 2006
6 A fast algorithm for learning a ranking function from large scale data sets – Vikas C. Raykar, Ramani Duraiswami, Balaji Krishnapuram - 2007
4 A large deviation bound for the area under the ROC curve – Shivani Agarwal, Thore Graepel, Ralf Herbrich, Dan Roth - 2005
Editor: Editor – Cynthia Rudin
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Machine Learning, vol.88, no.3, pp.297–330, 2012. 1 Multi-parametric Solution-path Algorithm for Instance-weighted Support Vector Machines – Masayuki Karasuyama, Naoyuki Harada, Masashi Sugiyama, Ichiro Takeuchi
1 Learning Rankings via Convex Hull Separation – Glenn Fung Omer, Glenn Fung, Rómer Rosales, Balaji Krishnapuram - 2006