33 results
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**Learning Theory and Kernel Machines: 16th Annual Conference on Learning Theory and 7th Kernel Workshop (COLT/Kernel 2003), LNCS Vol. 2777**
*Proceedings of the 16th Annual Conference on Learning Theory and 7th Kernel Workshop (COLT/Kernel 2003)*, *COLT/Kernel 2003*, pages: 746, Springer, Berlin, Germany, 16th Annual Conference on Learning Theory and 7th Kernel Workshop, November 2003, Lecture Notes in Computer Science ; 2777 (proceedings)

**On the Complexity of Learning the Kernel Matrix**
In *Advances in Neural Information Processing Systems 15*, pages: 399-406, (Editors: Becker, S. , S. Thrun, K. Obermayer), The MIT Press, Cambridge, MA, USA, Sixteenth Annual Conference on Neural Information Processing Systems (NIPS), October 2003 (inproceedings)

**Cluster Kernels for Semi-Supervised Learning**
In *Advances in Neural Information Processing Systems 15*, pages: 585-592, (Editors: S Becker and S Thrun and K Obermayer), MIT Press, Cambridge, MA, USA, 16th Annual Conference on Neural Information Processing Systems (NIPS), October 2003 (inproceedings)

**Mismatch String Kernels for SVM Protein Classification**
In *Advances in Neural Information Processing Systems 15*, pages: 1417-1424, (Editors: Becker, S. , S. Thrun, K. Obermayer), MIT Press, Cambridge, MA, USA, Sixteenth Annual Conference on Neural Information Processing Systems (NIPS), October 2003 (inproceedings)

**Real-Time Face Detection**
Biologische Kybernetik, Eberhard-Karls-Universitaet Tuebingen, Tuebingen, Germany, October 2003 (diplomathesis)

**Kernel Dependency Estimation**
In *Advances in Neural Information Processing Systems 15*, pages: 873-880, (Editors: S Becker and S Thrun and K Obermayer), MIT Press, Cambridge, MA, USA, 16th Annual Conference on Neural Information Processing Systems (NIPS), October 2003 (inproceedings)

**Linear Combinations of Optic Flow Vectors for Estimating Self-Motion: a Real-World Test of a Neural Model**
In *Advances in Neural Information Processing Systems 15*, pages: 1319-1326, (Editors: Becker, S., S. Thrun and K. Obermayer), MIT Press, Cambridge, MA, USA, Sixteenth Annual Conference on Neural Information Processing Systems (NIPS), October 2003 (inproceedings)

**Clustering with the Fisher score**
In *Advances in Neural Information Processing Systems 15*, pages: 729-736, (Editors: Becker, S. , S. Thrun, K. Obermayer), MIT Press, Cambridge, MA, USA, Sixteenth Annual Conference on Neural Information Processing Systems (NIPS), October 2003 (inproceedings)

**Marginalized Kernels between Labeled Graphs**
In *20th International Conference on Machine Learning*, pages: 321-328, (Editors: Faucett, T. and N. Mishra), 20th International Conference on Machine Learning, August 2003 (inproceedings)

**Sparse Gaussian Processes: inference, subspace identification and model selection**
In *Proceedings*, pages: 1-6, (Editors: Van der Hof, , Wahlberg), The Netherlands, 13th IFAC Symposium on System Identifiaction, August 2003, electronical version; Index ThA02-2 (inproceedings)

**Adaptive, Cautious, Predictive control with Gaussian Process Priors**
In *Proceedings of the 13th IFAC Symposium on System Identification*, pages: 1195-1200, (Editors: Van den Hof, P., B. Wahlberg and S. Weiland), Proceedings of the 13th IFAC Symposium on System Identification, August 2003 (inproceedings)

Bousquet, O.
**Statistical Learning Theory**
Machine Learning Summer School, August 2003 (talk)

**Remarks on Statistical Learning Theory**
Machine Learning Summer School, August 2003 (talk)

**On the Representation, Learning and Transfer of Spatio-Temporal Movement Characteristics**
In *Humanoids Proceedings*, pages: 0-0, Humanoids Proceedings, July 2003, electronical version (inproceedings)

**A case based comparison of identification with neural network and Gaussian process models.**
In *Proceedings of the International Conference on Intelligent Control Systems and Signal Processing ICONS 2003*, 1, pages: 137-142, (Editors: Ruano, E.A.), Proceedings of the International Conference on Intelligent Control Systems and Signal Processing ICONS, April 2003 (inproceedings)

**On-Line One-Class Support Vector Machines. An Application to Signal Segmentation**
In *IEEE ICASSP Vol. 2*, pages: 709-712, IEEE ICASSP, April 2003 (inproceedings)

**The Kernel Mutual Information**
In *IEEE ICASSP Vol. 4*, pages: 880-883, IEEE ICASSP, April 2003 (inproceedings)

**Rademacher and Gaussian averages in Learning Theory**
Universite de Marne-la-Vallee, March 2003 (talk)

Bousquet, O., Schölkopf, B.
**Statistical Learning Theory**
March 2003 (talk)

**Concentration Inequalities and Data-Dependent Error Bounds**
Uni. Jena, February 2003 (talk)

**Introduction: Robots with Cognition?**
6, pages: 38, (Editors: H.H. Bülthoff, K.R. Gegenfurtner, H.A. Mallot, R. Ulrich, F.A. Wichmann), 6. T{\"u}binger Wahrnehmungskonferenz (TWK), February 2003 (talk)

**Hierarchical Spatio-Temporal Morphable Models for Representation of
complex movements for Imitation Learning**
In *11th International Conference on Advanced Robotics*, (2):453-458, (Editors: Nunes, U., A. de Almeida, A. Bejczy, K. Kosuge and J.A.T. Machado), 11th International Conference on Advanced Robotics, January 2003 (inproceedings)

**Feature Selection for Support Vector Machines by Means of Genetic Algorithms**
In *15th IEEE International Conference on Tools with AI*, pages: 142-148, 15th IEEE International Conference on Tools with AI, 2003 (inproceedings)

**Propagation of Uncertainty in Bayesian Kernel Models - Application to Multiple-Step Ahead Forecasting**
In *IEEE International Conference on Acoustics, Speech and Signal Processing*, 2, pages: 701-704, IEEE International Conference on Acoustics, Speech and Signal Processing, 2003 (inproceedings)

**Unsupervised Clustering of Images using their Joint Segmentation**
In *The 3rd International Workshop on Statistical and Computational Theories of Vision (SCTV 2003)*, pages: 1-24, 3rd International Workshop on Statistical and Computational Theories of Vision (SCTV), 2003 (inproceedings)

**Kernel Methods and Their Applications to Signal Processing**
In *Proceedings. (ICASSP ‘03)*, Special Session on Kernel Methods, pages: 860 , ICASSP, 2003 (inproceedings)

**Predictive control with Gaussian process models**
In *Proceedings of IEEE Region 8 Eurocon 2003: Computer as a Tool*, pages: 352-356, (Editors: Zajc, B. and M. Tkal), Proceedings of IEEE Region 8 Eurocon: Computer as a Tool, 2003 (inproceedings)

**m-Alternative Forced Choice—Improving the Efficiency of the
Method of Constant Stimuli**
Biologische Kybernetik, Graduate School for Neural and
Behavioural Sciences, Tübingen, 2003 (diplomathesis)

**Distance-based classification with Lipschitz functions**
In *Learning Theory and Kernel Machines, Proceedings of the 16th Annual Conference on Computational Learning Theory*, pages: 314-328, (Editors: Schölkopf, B. and M.K. Warmuth), Learning Theory and Kernel Machines, Proceedings of the 16th Annual Conference on Computational Learning Theory, 2003 (inproceedings)

**Variationsverfahren zur Untersuchung von
Grundzustandseigenschaften des Ein-Band Hubbard-Modells**
Biologische Kybernetik, Technische Universität Dresden, Dresden/Germany, May 2001 (diplomathesis)

**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)

**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)

**Choosing nu in support vector regression with
different noise models — theory and experiments**
In *Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, IJCNN 2000, Neural Computing: New Challenges and Perspectives for the New Millennium*, IEEE, International Joint Conference on Neural Networks, 2000 (inproceedings)