Publications of O Chapelle

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 pp., 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 pp.

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 pp.

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 pp.

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 pp.

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. (2002)

Chapelle, O.; Schölkopf, B.: Incorporating Invariances in Non-Linear Support Vector Machines. (2001)