Publikationen von O Chapelle
Alle Typen
Zeitschriftenartikel (6)
1.
Zeitschriftenartikel
9, S. 203 - 233 (2008)
Optimization Techniques for Semi-Supervised Support Vector Machines. Journal of Machine Learning Research 2.
Zeitschriftenartikel
19 (5), S. 1155 - 1178 (2007)
Training a Support Vector Machine in the Primal. Neural computation 3.
Zeitschriftenartikel
25 (3), S. 635 - 644 (2006)
Implicit Surface Modelling with a Globally Regularised Basis of Compact Support. Computer Graphics Forum 4.
Zeitschriftenartikel
7, S. 1493 - 1515 (2006)
Building Support Vector Machines with Reduced Classifier Complexity. The Journal of Machine Learning Research 5.
Zeitschriftenartikel
13 (4), S. 791 - 800 (2004)
Feature Selection for Support Vector Machines Using Genetic Algorithms. International Journal on Artificial Intelligence Tools 6.
Zeitschriftenartikel
19 (6), S. 764 - 771 (2003)
Feature selection and transduction for prediction of molecular bioactivity for drug design. Bioinformatics Buch (2)
7.
Buch
Large-Scale Kernel Machines. MIT Press, Cambridge, MA, USA (2007), 396 S.
8.
Buch
Semi-Supervised Learning. MIT Press, Cambridge, MA, USA (2006), 508 S.
Buchkapitel (5)
9.
Buchkapitel
Chapelle, O.; DeCoste, D.; Weston, J.). MIT Press, Cambridge, MA, USA (2007)
Training a Support Vector Machine in the Primal. In: Large Scale Kernel Machines, S. 29 - 50 (Hg. Bottou, L.; 10.
Buchkapitel
Analysis of Benchmarks. In: Semi-Supervised Learning, 21, S. 377 - 393 (Hg.
11.
Buchkapitel
A Discussion of Semi-Supervised Learning and Transduction. In: Semi-Supervised Learning, 25, S. 473 - 478 (Hg.
12.
Buchkapitel
Combining a Filter Method with SVMs. In: Feature Extraction: Foundations and Applications, S. 439 - 446 (Hg. Guyon, I.; Gunn, S.; Nikravesh, M.; Zadeh, L.). Springer, Berlin, Germany (2006)
13.
Buchkapitel
Embedded methods. In: Feature Extraction: Foundations and Applications, S. 137 - 165 (Hg. Guyon, I.; Gunn, S.; Nikravesh, M.; Zadeh, L.). Springer, Berlin, Germany (2006)
Konferenzbeitrag (26)
14.
Konferenzbeitrag
An Analysis of Inference with the Universum. In: Advances in Neural Information Processing Systems 20: 21st Annual Conference on Neural Information Processing Systems 2007, S. 1369 - 1376 (Hg. Platt, C.; Koller, D.; Singer, Y.; Roweis, S.). Twenty-First Annual Conference on Neural Information Processing Systems (NIPS 2007), Vancouver, BC, Canada, 03. Dezember 2007 - 06. Dezember 2007. Curran, Red Hook, NY, USA (2008)
15.
Konferenzbeitrag
Learning with Transformation Invariant Kernels. In: Advances in Neural Information Processing Systems 20: 21st Annual Conference on Neural Information Processing Systems 2007, S. 1561 - 1568 (Hg. Platt, C.; Koller, D.; Singer, Y.; Roweis, S.). Twenty-First Annual Conference on Neural Information Processing Systems (NIPS 2007), Vancouver, BC, Canada, 03. Dezember 2007 - 06. Dezember 2007. Curran, Red Hook, NY, USA (2008)
16.
Konferenzbeitrag
Schölkopf, B.; Platt, J.; Hoffman, T.). Twentieth Annual Conference on Neural Information Processing Systems (NIPS 2006), Vancouver, BC, Canada, 04. Dezember 2006 - 07. Dezember 2006. MIT Press, Cambridge, MA, USA (2007)
Branch and Bound for Semi-Supervised Support Vector Machines. In: Advances in Neural Information Processing Systems 19, S. 217 - 224 (Hg. 17.
Konferenzbeitrag
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, 04. Dezember 2006 - 07. Dezember 2006. Advances in Neural Information Processing Systems 19, S. 673 - 680 (2007)
18.
Konferenzbeitrag
Schölkopf, B.; Platt, J.; Hoffman, T.). Twentieth Annual Conference on Neural Information Processing Systems (NIPS 2006), Vancouver, BC, Canada, 04. Dezember 2006 - 07. Dezember 2006. MIT Press, Cambridge, MA, USA (2007)
Implicit Surfaces with Globally Regularised and Compactly Supported Basis Functions. In: Advances in Neural Information Processing Systems 19, S. 273 - 280 (Hg. 19.
Konferenzbeitrag
Deterministic Annealing for Multiple-Instance Learning. In: Artificial Intelligence and Statistics, 21-24 March 2007, San Juan, Puerto Rico, S. 123 - 130 (Hg. Meila, M.; Shen, X.). 11th International Conference on Artificial Intelligence and Statistics (AISTATS 2007), San Juan, Puerto Rico, 21. März 2007 - 24. März 2007. International Machine Learning Society, Madison, WI, USA (2007)
20.
Konferenzbeitrag
A Continuation Method for Semi-Supervised SVMs. In: ICML '06: Proceedings of the 23rd International Conference on Machine Learning, S. 185 - 192 (Hg. Cohen, W.; Moore, A.). 23rd International Conference on Machine Learning, Pittsburgh, PA., USA, 25. Juni 2006 - 29. Juni 2006. ACM Press, New York, NY, USA (2006)