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DEPARTMENTS

Emperical Interference

Haptic Intelligence

Modern Magnetic Systems

Perceiving Systems

Physical Intelligence

Robotic Materials

Social Foundations of Computation


Research Groups

Autonomous Vision

Autonomous Learning

Bioinspired Autonomous Miniature Robots

Dynamic Locomotion

Embodied Vision

Human Aspects of Machine Learning

Intelligent Control Systems

Learning and Dynamical Systems

Locomotion in Biorobotic and Somatic Systems

Micro, Nano, and Molecular Systems

Movement Generation and Control

Neural Capture and Synthesis

Physics for Inference and Optimization

Organizational Leadership and Diversity

Probabilistic Learning Group


Topics

Robot Learning

Conference Paper

2022

Autonomous Learning

Robotics

AI

Career

Award


Empirical Inference Conference Paper Distance-based classification with Lipschitz functions von Luxburg, U., Bousquet, O. In Learning Theory and Kernel Machines, Proceedings of the 16th Annual Conference on Computational Learning Theory, :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 () PDF PostScript BibTeX

Empirical Inference Book Chapter Extension of the nu-SVM range for classification Perez-Cruz, F., Weston, J., Herrmann, D., Schölkopf, B. In Advances in Learning Theory: Methods, Models and Applications, NATO Science Series III: Computer and Systems Sciences, Vol. 190, 190:179-196, NATO Science Series III: Computer and Systems Sciences, (Editors: J Suykens and G Horvath and S Basu and C Micchelli and J Vandewalle), IOS Press, Amsterdam, 2003 () BibTeX

Empirical Inference Conference Paper Feature Selection for Support Vector Machines by Means of Genetic Algorithms Fröhlich, H., Chapelle, O., Schölkopf, B. In 15th IEEE International Conference on Tools with AI, :142-148, 15th IEEE International Conference on Tools with AI, 2003 () BibTeX

Empirical Inference Technical Report Interactive Images Toyama, K., Schölkopf, B. (MSR-TR-2003-64), Microsoft Research, Cambridge, UK, 2003 () Web BibTeX

Empirical Inference Conference Paper Kernel Methods and Their Applications to Signal Processing Bousquet, O., Perez-Cruz, F. In IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP ‘03), Proceedings. (ICASSP ‘03), Special Session on Kernel Methods:860 , ICASSP, 2003 () PDF PostScript BibTeX

Empirical Inference Article New Approaches to Statistical Learning Theory Bousquet, O. Annals of the Institute of Statistical Mathematics, 55(2):371-389, 2003 () PostScript BibTeX

Empirical Inference Conference Paper Predictive control with Gaussian process models Kocijan, J., Murray-Smith, R., Rasmussen, C., Likar, B. In Proceedings of IEEE Region 8 Eurocon 2003: Computer as a Tool, :352-356, (Editors: Zajc, B. and M. Tkal), Proceedings of IEEE Region 8 Eurocon 2003: Computer as a Tool, 2003 () PDF PostScript BibTeX

Empirical Inference Conference Paper Propagation of Uncertainty in Bayesian Kernel Models - Application to Multiple-Step Ahead Forecasting Quiñonero-Candela, J., Girard, A., Larsen, J., Rasmussen, C. In IEEE International Conference on Acoustics, Speech and Signal Processing, 2:701-704, IEEE International Conference on Acoustics, Speech and Signal Processing, 2003 () PDF PostScript BibTeX

Empirical Inference Book Chapter Stability of ensembles of kernel machines Elisseeff, A., Pontil, M. In 190:111-124, NATO Science Series III: Computer and Systems Science, (Editors: Suykens, J., G. Horvath, S. Basu, C. Micchelli and J. Vandewalle), IOS press, Netherlands, 2003 () BibTeX

Empirical Inference Book Chapter Statistical Learning and Kernel Methods in Bioinformatics Schölkopf, B., Guyon, I., Weston, J. In Artificial Intelligence and Heuristic Methods in Bioinformatics, 183:1-21, 3, (Editors: P Frasconi und R Shamir), IOS Press, Amsterdam, The Netherlands, 2003 () BibTeX

Empirical Inference Conference Paper Unsupervised Clustering of Images using their Joint Segmentation Seldin, Y., Starik, S., Werman, M. In The 3rd International Workshop on Statistical and Computational Theories of Vision (SCTV 2003), :1-24, 3rd International Workshop on Statistical and Computational Theories of Vision (SCTV 2003), 2003 () PDF Web BibTeX

Empirical Inference Thesis m-Alternative Forced Choice—Improving the Efficiency of the Method of Constant Stimuli Jäkel, F. Biologische Kybernetik, Graduate School for Neural and Behavioural Sciences, Tübingen, 2003 () BibTeX