Kernel Methods

past research
kernel methods
Kernel Methods

We studied kernel methods and SVMs, in particular in the context of semi-supervised learning and data-dependent regularization.

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Oct 2018 - Neuronal Intelligence Lab Start

2013

F. H. Sinz, A. Stöckl, J. Grewe, J. Benda Least Informative Dimensions Advances in Neural Information Processing Systems 26, 413-421
conference paper · kernel methods · code pdf poster

2007

F. H. Sinz A priori knowledge from non-examples Diploma Thesis University Tübingen
master thesis · kernel methods · pdf
F. H. Sinz, O. Chapelle, A. Agarwal, B. Schölkopf An Analysis of Inference with the Universum Advances in Neural Information Processing Systems, 1-8
conference paper · kernel methods · pdf

2006

F. Sinz, B. Schölkopf Minimal Logical Constraint Covering Sets Minimal Logical Constraint Covering Sets Technical Report Max Planck Institute for Biological Cybernetics
technical report · kernel methods · pdf
R. Collobert, F. Sinz, J. Weston, L. Bottou Large Scale Transductive SVMs Journal of Machine Learning Research, 7, 1687-1712
journal paper · kernel methods · pdf
J. Weston, R. Collobert, F. Sinz, L. Bottou, V. Vapnik Inference with the Universum Proceedings of the 23rd international conference on Machine learning ICML 06, 1009-1016
conference paper · kernel methods · pdf poster
R. Collobert, F. Sinz, J. Weston, L. Bottou Trading convexity for scalability International Conference on Machine Learning, 201-208
conference paper · kernel methods · pdf errata

2004

F.H. Sinz, J. Quinonero-Candela, G.H. Bakir, C.E. Rasmussen, M.O. Franz Learning Depth From Stereo Pattern Recognition, Proc. 26th DAGM Symposium, 3175, 1-8
conference paper · kernel methods · pdf