Publikationen von O Chapelle

Cawley, G.; Talbot, N.; Chapelle, O.: Estimating Predictive Variances with Kernel Ridge Regression. In: Machine Learning Challenges. Evaluating Predictive Uncertainty, Visual Object Classification, and Recognising Tectual Entailment: First PASCAL Machine Learning Challenges Workshop, MLCW 2005, Southampton, UK, April 11-13, 2005, S. 56 - 77 (Hg. Quinonero-Candela, J.; Dagan, I.; Magnini, B.; D‘Alché-Buc, F.). First PASCAL Machine Learning Challenges Workshop (MLCW 2005), Southampton, UK, 11. April 2005 - 13. April 2005. Springer, Berlin, Germany (2006)

Laaksonen, J.; Larlus, D.; Schiele, B.; Everingham, M.; Zisserman, A.; Williams, C.; van Gool, L.; Allan, M.; Bishop, C.; Chapelle, O. et al.; Dalal, N.; Deselaers, T.; Dorkó, G.; Duffner, S.; Eichhorn, J.; Fritz, M.; Garcia, C.; Griffiths, T.; Jurie, F.; Keysers, T.; Koskela, M.; Leibe, B.; Meng, H.; Ney, H.; Schmid, C.; Seemann, E.; Shawe‐Taylor, J.; Storkey, A.; Szedmak, S.; Triggs, B.; Ulusoy, I.; Viitaniemi, V.; Jianguo, Z.: The 2005 PASCAL Visual Object Classes Challenge. In: Machine Learning Challenges: Evaluating Predictive Uncertainty, Visual Object Classification, and Recognising Tectual Entailment First PASCAL Machine Learning Challenges Workshop, MLCW 2005, Southampton, UK, April 11-13, 2005, S. 117 - 176 (Hg. Quiñonero-Candela, J.; Dagan, I.; Magnini, B.; d’Alché-Buc, F.). First PASCAL Machine Learning Challenges Workshop (MLCW 2005), Southampton, UK, 11. April 2005 - 13. April 2005. Springer, Berlin (2006)

Kowalczyk, A.; Chapelle, O.: An Analysis of the Anti-Learning Phenomenon for the Class Symmetric Polyhedron. In: Algorithmic Learning Theory: 16th International Conference, ALT 2005, Singapore, October 8-11, 2005, S. 78 - 92 (Hg. Jain, S.; Simon, H.; Tomita, E.). 16th International Conference on Algorithmic Learning Theory (ALT 2005), Singapore, 08. Oktober 2005 - 11. Oktober 2005. Springer, Berlin, Germany (2005)

Walder, C.; Chapelle, O.; Schölkopf, B.: Implicit Surface Modelling as an Eigenvalue Problem. In: ICML '05: 22nd international conference on Machine learning, S. 936 - 939 (Hg. Dzeroski, S.; De Raedt , L.; Wrobel, S.). 22nd International Conference on Machine Learning (ICML 2005), Bonn, Germany, 07. August 2005 - 11. August 2005. ACM Press, New York, NY, USA (2005)

Chapelle, O.: A Machine Learning Approach to Conjoint Analysis. In: Advances in Neural Information Processing Systems 17, S. 257 - 264 (Hg. Saul, L.; Weiss, Y.; Bottou, L.). Eighteenth Annual Conference on Neural Information Processing Systems (NIPS 2004), Vancouver, BC, Canada, 13. Dezember 2004 - 16. Dezember 2004. MIT Press, Cambridge, MA, USA (2005)

Chapelle, O.: Active Learning for Parzen Window Classifier. In: AISTATS 2005: Tenth International Workshop onArtificial Intelligence and Statistics, S. 49 - 56 (Hg. Cowell, R.; Ghahramani, Z.). Tenth International Workshop on Artificial Intelligence and Statistics (AI Statistics 2005), Barbados, 06. Januar 2005 - 08. Januar 2005. The Society for Artificial Intelligence and Statistics (2005)

Chapelle, O.; Zien, A.: Semi-Supervised Classification by Low Density Separation. In: AISTATS 2005: Tenth International Workshop onArtificial Intelligence and Statistics, S. 57 - 64 (Hg. Cowell, R.; Ghahramani, Z.). Tenth International Workshop on Artificial Intelligence and Statistics (AI Statistics 2005), Barbados, 06. Januar 2005 - 08. Januar 2005. The Society for Artificial Intelligence and Statistics (2005)

Bousquet, O.; Chapelle, O.; Hein, M.: Measure Based Regularization. In: Advances in Neural Information Processing Systems 16, S. 1221 - 1228 (Hg. Thrun, S.; Saul, L.; Schölkopf, B.). Seventeenth Annual Conference on Neural Information Processing Systems (NIPS 2003), Vancouver, BC, Canada, 09. Dezember 2003 - 11. Dezember 2003. MIT Press, Cambridge, MA, USA (2004)

Fröhlich, H.; Chapelle, O.; Schölkopf, B.: Feature Selection for Support Vector Machines Using Genetic Algorithms. In: 15th IEEE International Conference on Tools with Artificial Intelligence, Bd. 13, S. 142 - 148. 15th IEEE International Conference on Tools with Artificial Intelligence 2003, Sacramento, CA, USA, 05. November 2003. IEEE Operations Center, Piscataway, NJ, USA (2003)

Chapelle, O.; Weston, J.; Schölkopf, B.: Cluster Kernels for Semi-Supervised Learning. In: Advances in Neural Information Processing Systems 15, S. 585 - 592 (Hg. Becker, S.; Thrun, S.; Obermayer, K.). Sixteenth Annual Conference on Neural Information Processing Systems (NIPS 2002), Vancouver, BC, Canada, 09. Dezember 2002 - 14. Dezember 2002. MIT Press, Cambridge, MA, USA (2003)

Weston, J.; Chapelle, O.; Elisseeff, A.; Schölkopf, B.; Vapnik, V.: Kernel Dependency Estimation. In: Advances in Neural Information Processing Systems 15, S. 873 - 880 (Hg. Becker, S.; Thrun, S.; Obermayer, K.). Sixteenth Annual Conference on Neural Information Processing Systems (NIPS 2002), Vancouver, BC, Canada, 09. Dezember 2002 - 14. Dezember 2002. MIT Press, Cambridge, MA, USA (2003)

Chapelle, O.; Schölkopf, B.; Weston, J.: Semi-Supervised Learning through Principal Directions Estimation. In: ICML 2003 Workshop on the Continuum from Labeled to Unlabeled Data in Machine Learning & Data Mining, S. 1 - 7. ICML 2003 Workshop on the Continuum from Labeled to Unlabeled Data in Machine Learning & Data Mining, Washington, DC, USA, 21. August 2003. (2003)

Chapelle, O.; Schölkopf, B.: Incorporating Invariances in Non-Linear Support Vector Machines. In: Advances in Neural Information Processing Systems 14, S. 609 - 616 (Hg. Dietterich, T.; Becker, S.; Ghahramani, Z.). Fifteenth Annual Neural Information Processing Systems Conference (NIPS 2001), Vancouver, BC, Canada, 03. Dezember 2001 - 08. Dezember 2001. MIT Press, Cambridge, MA, USA (2002)

Chapelle, O.: A taxonomy of semi-supervised learning algorithms. Yahoo!, Sunnyvale, CA, USA (2005)

Chapelle, O.: Some thoughts about Gaussian Processes. NIPS 2005 Workshop on Open Problems in Gaussian Processes for Machine Learning, Whistler, BC, Canada (2005)

Chapelle, O.: Support Vector Machines: Induction Principle, Adaptive Tuning and Prior Knowledge. Dissertation, 180 S., Universit ́e Pierre et Marie Curie: Paris VI, Paris, France (2004)

Walder, C.; Chapelle, O.: Learning with Transformation Invariant Kernels (Technical Report of the Max Planck Institute for Biological Cybernetics, 165). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2007), 12 S.

Chapelle, O.: Training a Support Vector Machine in the Primal (Technical Report of the Max Planck Institute for Biological Cybernetics, 147). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2006), 15 S.

Eichhorn, J.; Chapelle, O.: Object categorization with SVM: kernels for local features (Technical Report of the Max Planck Institute for Biological Cybernetics, 137). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2004), 9 S.

Weston, J.; Chapelle, O.; Elisseeff, A.; Schölkopf, B.; Vapnik, V.: Kernel Dependency Estimation (Technical Report of the Max Planck Institute for Biological Cybernetics, 98). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2002), 10 S.