Publications of O Chapelle

Chapelle, O.; Sindhwani, V.; Keerthi, S.: Optimization Techniques for Semi-Supervised Support Vector Machines. Journal of Machine Learning Research 9, pp. 203 - 233 (2008)

Chapelle, O.: Training a Support Vector Machine in the Primal. Neural computation 19 (5), pp. 1155 - 1178 (2007)

Walder, C.; Schölkopf, B.; Chapelle, O.: Implicit Surface Modelling with a Globally Regularised Basis of Compact Support. Computer Graphics Forum 25 (3), pp. 635 - 644 (2006)

Keerthi, S.; Chapelle, O.; DeCoste, D.: Building Support Vector Machines with Reduced Classifier Complexity. The Journal of Machine Learning Research 7, pp. 1493 - 1515 (2006)

Fröhlich, H.; Chapelle, O.; Schölkopf, B.: Feature Selection for Support Vector Machines Using Genetic Algorithms. International Journal on Artificial Intelligence Tools 13 (4), pp. 791 - 800 (2004)

Weston, J.; Perez-Cruz, F.; Bousquet, O.; Chapelle, O.; Elisseeff, A.; Schölkopf, B.: Feature selection and transduction for prediction of molecular bioactivity for drug design. Bioinformatics 19 (6), pp. 764 - 771 (2003)

Bottou, L.; Chapelle, O.; DeCoste, D.; Weston, J.: Large-Scale Kernel Machines. MIT Press, Cambridge, MA, USA (2007), 396 pp.

Chapelle, O.; Schölkopf, B.; Zien, A.: Semi-Supervised Learning. MIT Press, Cambridge, MA, USA (2006), 508 pp.

Chapelle, O.: Training a Support Vector Machine in the Primal. In: Large Scale Kernel Machines, pp. 29 - 50 (Eds. Bottou, L.; Chapelle, O.; DeCoste, D.; Weston, J.). MIT Press, Cambridge, MA, USA (2007)

Chapelle, O.; Schölkopf, B.; Zien, A.: Analysis of Benchmarks. In: Semi-Supervised Learning, 21, pp. 377 - 393 (Eds. Chapelle, O.; Schölkopf, B.; Zien, A.). MIT Press, Cambridge, MA, USA (2006)

Chapelle, O.; Schölkopf, B.; Zien, A.: A Discussion of Semi-Supervised Learning and Transduction. In: Semi-Supervised Learning, 25, pp. 473 - 478 (Eds. Chapelle, O.; Schölkopf, B.; Zien, A.). MIT Press, Cambridge, MA, USA (2006)

Lal, T.; Chapelle, O.; Schölkopf, B.: Combining a Filter Method with SVMs. In: Feature Extraction: Foundations and Applications, pp. 439 - 446 (Eds. Guyon, I.; Gunn, S.; Nikravesh, M.; Zadeh, L.). Springer, Berlin, Germany (2006)

Lal, T.; Chapelle, O.; Weston, J.; Elisseeff, A.: Embedded methods. In: Feature Extraction: Foundations and Applications, pp. 137 - 165 (Eds. Guyon, I.; Gunn, S.; Nikravesh, M.; Zadeh, L.). Springer, Berlin, Germany (2006)

Sinz, F.; Chapelle, O.; Agarwal, A.; Schölkopf, B.: An Analysis of Inference with the Universum. In: Advances in Neural Information Processing Systems 20: 21st Annual Conference on Neural Information Processing Systems 2007, pp. 1369 - 1376 (Eds. Platt, C.; Koller, D.; Singer, Y.; Roweis, S.). Twenty-First Annual Conference on Neural Information Processing Systems (NIPS 2007), Vancouver, BC, Canada, December 03, 2007 - December 06, 2007. Curran, Red Hook, NY, USA (2008)

Walder, C.; Chapelle, O.: Learning with Transformation Invariant Kernels. In: Advances in Neural Information Processing Systems 20: 21st Annual Conference on Neural Information Processing Systems 2007, pp. 1561 - 1568 (Eds. Platt, C.; Koller, D.; Singer, Y.; Roweis, S.). Twenty-First Annual Conference on Neural Information Processing Systems (NIPS 2007), Vancouver, BC, Canada, December 03, 2007 - December 06, 2007. Curran, Red Hook, NY, USA (2008)

Chapelle, O.; Sindhwani, V.; Keerthi, S.: Branch and Bound for Semi-Supervised Support Vector Machines. In: Advances in Neural Information Processing Systems 19, pp. 217 - 224 (Eds. Schölkopf, B.; Platt, J.; Hoffman, T.). Twentieth Annual Conference on Neural Information Processing Systems (NIPS 2006), Vancouver, BC, Canada, December 04, 2006 - December 07, 2006. MIT Press, Cambridge, MA, USA (2007)

Keerthi, S.; Sindhwani, V.; Chapelle, O.: An Efficient Method for Gradient-Based Adaptation of Hyperparameters in SVM Models. Twentieth Annual Conference on Neural Information Processing Systems (NIPS 2006), Vancouver, BC, Canada, December 04, 2006 - December 07, 2006. Advances in Neural Information Processing Systems 19, pp. 673 - 680 (2007)

Walder, C.; Schölkopf, B.; Chapelle, O.: Implicit Surfaces with Globally Regularised and Compactly Supported Basis Functions. In: Advances in Neural Information Processing Systems 19, pp. 273 - 280 (Eds. Schölkopf, B.; Platt, J.; Hoffman, T.). Twentieth Annual Conference on Neural Information Processing Systems (NIPS 2006), Vancouver, BC, Canada, December 04, 2006 - December 07, 2006. MIT Press, Cambridge, MA, USA (2007)

Gehler, P.; Chapelle, O.: Deterministic Annealing for Multiple-Instance Learning. In: Artificial Intelligence and Statistics, 21-24 March 2007, San Juan, Puerto Rico, pp. 123 - 130 (Eds. Meila, M.; Shen, X.). 11th International Conference on Artificial Intelligence and Statistics (AISTATS 2007), San Juan, Puerto Rico, March 21, 2007 - March 24, 2007. International Machine Learning Society, Madison, WI, USA (2007)

Chapelle, O.; Chi, M.; Zien, A.: A Continuation Method for Semi-Supervised SVMs. In: ICML '06: Proceedings of the 23rd International Conference on Machine Learning, pp. 185 - 192 (Eds. Cohen, W.; Moore, A.). 23rd International Conference on Machine Learning, Pittsburgh, PA., USA, June 25, 2006 - June 29, 2006. ACM Press, New York, NY, USA (2006)