| Semi-Supervised Learning O Chapelle, B Scholkopf, A Zien MIT Press, 2006 | 8291* | 2006 |
| A discussion of semi-supervised learning and transduction O Chapelle, B Scholkopf, A Zien Semi-Supervised Learning. MIT Press, Cambridge, MA, 457-462, 2006 | 8274* | 2006 |
| Choosing multiple parameters for support vector machines O Chapelle, V Vapnik, O Bousquet, S Mukherjee Machine learning 46 (1), 131-159, 2002 | 3565 | 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 | 2394 | 1999 |
| An empirical evaluation of thompson sampling O Chapelle, L Li Advances in neural information processing systems 24, 2011 | 2146 | 2011 |
| Scaling learning algorithms towards AI Y Bengio, Y LeCun Large-scale kernel machines 34 (5), 1-41, 2007 | 2040 | 2007 |
| 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 | 1614 | 2001 |
| Semi-supervised classification by low density separation O Chapelle, A Zien International workshop on artificial intelligence and statistics, 57-64, 2005 | 1289 | 2005 |
| Training a support vector machine in the primal O Chapelle Neural Computation 19 (5), 1155-1178, 2007 | 1090 | 2007 |
| 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 | 1077 | 2009 |
| Bounds on error expectation for support vector machines V Vapnik, O Chapelle Neural computation 12 (9), 2013-2036, 2000 | 925 | 2000 |
| Yahoo! learning to rank challenge overview O Chapelle, Y Chang JMLR: Workshop and Conference Proceedings 14, 1-24, 2011 | 792 | 2011 |
| 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 | 722 | 2009 |
| Cluster kernels for semi-supervised learning O Chapelle, J Weston, B Schölkopf Advances in neural information processing systems 15, 585-592, 2002 | 709 | 2002 |
| Optimization techniques for semi-supervised support vector machines. O Chapelle, V Sindhwani, SS Keerthi Journal of Machine Learning Research 9 (2), 2008 | 596 | 2008 |
| Embedded methods T Lal, O Chapelle, J Weston, A Elisseeff Feature Extraction, 137-165, 2006 | 522 | 2006 |
| Model selection for support vector machines O Chapelle, V Vapnik Advances in neural information processing systems 12, 230-236, 1999 | 517 | 1999 |
| Vicinal risk minimization O Chapelle, J Weston, L Bottou, V Vapnik Advances in neural information processing systems 13, 2000 | 495 | 2000 |
| Simple and scalable response prediction for display advertising O Chapelle, E Manavoglu, R Rosales ACM Transactions on Intelligent Systems and Technology, 2014 | 479 | 2014 |
| A Reliable Effective Terascale Linear Learning System A Agarwal, O Chapelle, M Dudik, J Langford Arxiv preprint arXiv:1110.4198, 2011 | 465 | 2011 |
Bernhard SchölkopfDirector, Max Planck Institute for Intelligent Systems & ELLIS Institute Tübingen; Professor at ETHVerified email at tuebingen.mpg.de
