| The pascal visual object classes (voc) challenge M Everingham, L Van Gool, CKI Williams, J Winn, A Zisserman International journal of computer vision 88 (2), 303-338, 2010 | 10666* | 2010 |
| A discussion of semi-supervised learning and transduction O Chapelle, B Scholkopf, A Zien Semi-Supervised Learning. MIT Press, Cambridge, MA, 457-462, 2006 | 5181* | 2006 |
| Semi-Supervised Learning O Chapelle, B Scholkopf, A Zien MIT Press, 2006 | 5164* | 2006 |
| Choosing multiple parameters for support vector machines O Chapelle, V Vapnik, O Bousquet, S Mukherjee Machine learning 46 (1), 131-159, 2002 | 3024 | 2002 |
| Support vector machines for histogram-based image classification O Chapelle, P Haffner, VN Vapnik IEEE transactions on Neural Networks 10 (5), 1055-1064, 1999 | 1889 | 1999 |
| Feature selection for SVMs J Weston, S Mukherjee, O Chapelle, M Pontil, T Poggio, V Vapnik Advances in neural information processing systems, 668-674, 2001 | 1314 | 2001 |
| Scaling learning algorithms towards AI Y Bengio, Y LeCun Large-scale kernel machines 34 (5), 1-41, 2007 | 1222 | 2007 |
| An empirical evaluation of thompson sampling O Chapelle, L Li Advances in neural information processing systems, 2249-2257, 2011 | 875 | 2011 |
| Training a support vector machine in the primal O Chapelle Neural Computation 19 (5), 1155-1178, 2007 | 867 | 2007 |
| Semi-supervised classification by low density separation. O Chapelle, A Zien AISTATS 2005, 57-64, 2005 | 863 | 2005 |
| Expected reciprocal rank for graded relevance O Chapelle, D Metlzer, Y Zhang, P Grinspan Proceeding of the 18th ACM conference on Information and knowledge …, 2009 | 733 | 2009 |
| Bounds on error expectation for support vector machines V Vapnik, O Chapelle Neural computation 12 (9), 2013-2036, 2000 | 676 | 2000 |
| Cluster kernels for semi-supervised learning O Chapelle, J Weston, B Schölkopf Advances in neural information processing systems 15, 585-592, 2002 | 589 | 2002 |
| Combining active learning and semi-supervised learning using gaussian fields and harmonic functions X Zhu, J Lafferty, Z Ghahramani ICML 2003 workshop on the continuum from labeled to unlabeled data in …, 2003 | 532 | 2003 |
| A dynamic bayesian network click model for web search ranking O Chapelle, Y Zhang Proceedings of the 18th international conference on World wide web, 1-10, 2009 | 500 | 2009 |
| Optimization techniques for semi-supervised support vector machines O Chapelle, V Sindhwani, SS Keerthi Journal of Machine Learning Research 9 (Feb), 203-233, 2008 | 448 | 2008 |
| Yahoo! learning to rank challenge overview O Chapelle, Y Chang JMLR: Workshop and Conference Proceedings 14, 1-24, 2011 | 435 | 2011 |
| Model selection for support vector machines O Chapelle, V Vapnik Advances in neural information processing systems 12, 230-236, 1999 | 431 | 1999 |
| Feature selection for support vector machines using genetic algorithms H Fröhlich, O Chapelle, B Schölkopf International Journal on Artificial Intelligence Tools 13 (4), 791-800, 2004 | 408* | 2004 |
| Feature selection for support vector machines by means of genetic algorithm H Frohlich, O Chapelle, B Scholkopf Tools with Artificial Intelligence, 2003. Proceedings. 15th IEEE …, 2003 | 408* | 2003 |
Bernhard SchölkopfDirector, Max Planck Institute for Intelligent Systems; Professor at ETH Zürich, and DistinguishedDirección de correo verificada de tuebingen.mpg.de
