383 results
(View BibTeX file of all listed publications)

**Four-legged Walking Gait Control Using a Neuromorphic Chip Interfaced to a Support Vector Learning Algorithm**
In *Advances in Neural Information Processing Systems 13*, pages: 741-747, (Editors: TK Leen and TG Dietterich and V Tresp), MIT Press, Cambridge, MA, USA, 14th Annual Neural Information Processing Systems Conference (NIPS), April 2001 (inproceedings)

**Algorithmic Stability and Generalization Performance**
In *Advances in Neural Information Processing Systems 13*, pages: 196-202, (Editors: Leen, T.K. , T.G. Dietterich, V. Tresp), MIT Press, Cambridge, MA, USA, Fourteenth Annual Neural Information Processing Systems Conference (NIPS), April 2001 (inproceedings)

**The Kernel Trick for Distances**
In *Advances in Neural Information Processing Systems 13*, pages: 301-307, (Editors: TK Leen and TG Dietterich and V Tresp), MIT Press, Cambridge, MA, USA, 14th Annual Neural Information Processing Systems Conference (NIPS), April 2001 (inproceedings)

**Vicinal Risk Minimization**
In *Advances in Neural Information Processing Systems 13*, pages: 416-422, (Editors: Leen, T.K. , T.G. Dietterich, V. Tresp), MIT Press, Cambridge, MA, USA, Fourteenth Annual Neural Information Processing Systems Conference (NIPS) , April 2001 (inproceedings)

**Feature Selection for SVMs**
In *Advances in Neural Information Processing Systems 13*, pages: 668-674, (Editors: Leen, T.K. , T.G. Dietterich, V. Tresp), MIT Press, Cambridge, MA, USA, Fourteenth Annual Neural Information Processing Systems Conference (NIPS), April 2001 (inproceedings)

**Occam’s Razor**
In *Advances in Neural Information Processing Systems 13*, pages: 294-300, (Editors: Leen, T.K. , T.G. Dietterich, V. Tresp), MIT Press, Cambridge, MA, USA, Fourteenth Annual Neural Information Processing Systems Conference (NIPS), April 2001 (inproceedings)

**Plaid maskers revisited: asymmetric plaids**
pages: 57, 4. T{\"u}binger Wahrnehmungskonferenz (TWK), March 2001 (poster)

**An Improved Training Algorithm for Kernel Fisher Discriminants**
In *Proceedings AISTATS*, pages: 98-104, (Editors: T Jaakkola and T Richardson), Morgan Kaufman, San Francisco, CA, Artificial Intelligence and Statistics (AISTATS), January 2001 (inproceedings)

**Nonstationary Signal Classification using Support Vector Machines**
In *11th IEEE Workshop on Statistical Signal Processing*, pages: 305-305, 11th IEEE Workshop on Statistical Signal Processing, 2001 (inproceedings)

**Enhanced User Authentication through Typing Biometrics with Artificial Neural Networks and K-Nearest Neighbor Algorithm**
In 2001 (inproceedings)

**Predicting the Nonlinear Dynamics of Biological Neurons using Support Vector Machines with Different Kernels**
In *Proceedings of the International Joint Conference on Neural Networks (IJCNN'2001) Washington DC*, 2, pages: 1492-1497, Proceedings of the International Joint Conference on Neural Networks (IJCNN'2001) Washington DC, 2001 (inproceedings)

**Computationally Efficient Face Detection**
In *Computer Vision, ICCV 2001, vol. 2*, (73):695-700, IEEE, 8th International Conference on Computer Vision, 2001 (inproceedings)

**Design and Verification of Supervisory Controller of High-Speed Train**
In *IEEE International Symposium on Industrial Electronics*, pages: 1290-1295, IEEE Operations Center, Piscataway, NJ, USA, IEEE International Symposium on Industrial Electronics (ISIE), 2001 (inproceedings)

**Towards Learning Path Planning for Solving Complex Robot Tasks**
In *Proceedings of the International Conference on Artificial Neural Networks (ICANN'2001) Vienna*, pages: 943-950, Proceedings of the International Conference on Artificial Neural Networks (ICANN'2001) Vienna, 2001 (inproceedings)

**Learning to predict the leave-one-out error of kernel based classifiers**
In *International Conference on Artificial Neural Networks, ICANN'01*, (LNCS 2130):331-338, (Editors: G. Dorffner, H. Bischof and K. Hornik), International Conference on Artificial Neural Networks, ICANN'01, 2001 (inproceedings)

**A kernel approach for vector quantization with guaranteed distortion bounds**
In *Artificial Intelligence and Statistics*, pages: 129-134, (Editors: T Jaakkola and T Richardson), Morgan Kaufmann, San Francisco, CA, USA, 8th International Conference on Artificial Intelligence and Statistics (AI and STATISTICS), 2001 (inproceedings)

**Tracking a Small Set of Experts by Mixing Past Posteriors**
In *Proceedings of the 14th Annual Conference on Computational Learning Theory, Lecture Notes in Computer Science*, 2111, pages: 31-47, Proceedings of the 14th Annual Conference on Computational Learning Theory, Lecture Notes in Computer Science, 2001 (inproceedings)

**Learning and Prediction of the Nonlinear Dynamics of Biological Neurons with Support Vector Machines**
In *Proceedings of the International Conference on Artificial Neural Networks (ICANN'2001)*, pages: 390-398, Proceedings of the International Conference on Artificial Neural Networks (ICANN'2001), 2001 (inproceedings)

**Estimating a Kernel Fisher Discriminant in the Presence of Label Noise**
In *18th International Conference on Machine Learning*, pages: 306-313, (Editors: CE Brodley and A Pohoreckyj Danyluk), Morgan Kaufmann , San Fransisco, CA, USA, 18th International Conference on Machine Learning (ICML), 2001 (inproceedings)

**A Generalized Representer Theorem**
In *Lecture Notes in Computer Science, Vol. 2111*, (2111):416-426, LNCS, (Editors: D Helmbold and R Williamson), Springer, Berlin, Germany, Annual Conference on Computational Learning Theory (COLT/EuroCOLT), 2001 (inproceedings)

**The pedestal effect with a pulse train and its constituent sinusoids**
*Twenty-Sixth Annual Interdisciplinary Conference*, 2001 (poster)

**Unsupervised Segmentation and Classification of Mixtures of Markovian Sources**
In *The 33rd Symposium on the Interface of Computing Science and Statistics (Interface 2001 - Frontiers in Data Mining and Bioinformatics)*, pages: 1-15, 33rd Symposium on the Interface of Computing Science and Statistics (Interface - Frontiers in Data Mining and Bioinformatics), 2001 (inproceedings)

**Support Vector Regression for Black-Box System Identification**
In *11th IEEE Workshop on Statistical Signal Processing*, pages: 341-344, IEEE Signal Processing Society, Piscataway, NY, USA, 11th IEEE Workshop on Statistical Signal Processing, 2001 (inproceedings)

**Unsupervised Sequence Segmentation by a
Mixture of Switching Variable Memory Markov Sources**
In *In the proceeding of the 18th International Conference on Machine Learning (ICML 2001)*, pages: 513-520, 18th International Conference on Machine Learning (ICML), 2001 (inproceedings)

**Kernel Machine Based Learning for Multi-View Face
Detection and Pose Estimation**
In *Proceedings Computer Vision, 2001, Vol. 2*, pages: 674-679, IEEE Computer Society, 8th International Conference on Computer Vision (ICCV), 2001 (inproceedings)

**Modeling the Dynamics of Individual Neurons of the Stomatogastric Networks with Support Vector Machines**
*Abstract Proceedings of the 6th International Congress of Neuroethology (ICN'2001) Bonn, abstract 404*, 2001 (poster)

**Quality Prediction of Steel Products using Neural Networks**
In *Proc. of the Korean Expert System Conference*, pages: 112-124, Korean Expert System Society Conference, November 1996 (inproceedings)

**Comparison of view-based object recognition algorithms using realistic 3D models**
In *Artificial Neural Networks: ICANN 96, LNCS, vol. 1112*, pages: 251-256, Lecture Notes in Computer Science, (Editors: C von der Malsburg and W von Seelen and JC Vorbrüggen and B Sendhoff), Springer, Berlin, Germany, 6th International Conference on Artificial Neural Networks, July 1996 (inproceedings)

**Incorporating invariances in support vector learning machines**
In *Artificial Neural Networks: ICANN 96, LNCS vol. 1112*, pages: 47-52, (Editors: C von der Malsburg and W von Seelen and JC Vorbrüggen and B Sendhoff), Springer, Berlin, Germany, 6th International Conference on Artificial Neural Networks, July 1996, volume 1112 of Lecture Notes in Computer Science
(inproceedings)

**A practical Monte Carlo implementation of Bayesian
learning**
In *Advances in Neural Information Processing Systems 8*, pages: 598-604, (Editors: Touretzky, D.S. , M.C. Mozer, M.E. Hasselmo), MIT Press, Cambridge, MA, USA, Ninth Annual Conference on Neural Information Processing Systems (NIPS), June 1996 (inproceedings)

**Gaussian Processes for Regression**
In *Advances in neural information processing systems 8*, pages: 514-520, (Editors: Touretzky, D.S. , M.C. Mozer, M.E. Hasselmo), MIT Press, Cambridge, MA, USA, Ninth Annual Conference on Neural Information Processing Systems (NIPS), June 1996 (inproceedings)

**Aktives Erwerben eines Ansichtsgraphen zur diskreten Repräsentation offener Umwelten.**
*Fortschritte der K{\"u}nstlichen Intelligenz*, pages: 138-147, (Editors: M. Thielscher and S.-E. Bornscheuer), 1996 (poster)

**Does motion-blur facilitate motion detection ?**
*OSA Conference Program*, pages: S127, 1996 (poster)