399 results
(View BibTeX file of all listed publications)

**Enhancement of source independence for blind source separation**
In *Independent Component Analysis and Blind Signal Separation, LNCS 3889*, pages: 731-738, (Editors: J. Rosca and D. Erdogmus and JC Príncipe und S. Haykin), Springer, Berlin, Germany, 6th International Conference on Independent Component Analysis and Blind Signal Separation (ICA), 2006, Lecture Notes in Computer Science, 2006, Volume 3889/2006 (inproceedings)

**Apparatus for Inspecting Alignment Film of Liquid Crystal Display and Method Thereof**
Max-Planck-Gesellschaft, Biologische Kybernetik, 2006 (patent)

**ICA with Sparse Connections**
In *Intelligent Data Engineering and Automated Learning – IDEAL 2006*, pages: 530-537, (Editors: E Corchado and H Yin and V Botti und Colin Fyfe), Springer, 7th International Conference on Intelligent Data Engineering and Automated Learning (IDEAL), 2006, Lecture Notes in Computer Science, 2006, Volume 4224/2006 (inproceedings)

**Combining a Filter Method with SVMs**
In *Feature Extraction: Foundations and Applications, Studies in Fuzziness and Soft Computing, Vol. 207*, pages: 439-446, Studies in Fuzziness and Soft Computing ; 207, (Editors: I Guyon and M Nikravesh and S Gunn and LA Zadeh), Springer, Berlin, Germany, 2006 (inbook)

**Apparatus for Inspecting Flat Panel Display and Method Thereof**
Max-Planck-Gesellschaft, Biologische Kybernetik, 2006 (patent)

**Embedded methods**
In *Feature Extraction: Foundations and Applications*, pages: 137-165, Studies in Fuzziness and Soft Computing ; 207, (Editors: Guyon, I. , S. Gunn, M. Nikravesh, L. A. Zadeh), Springer, Berlin, Germany, 2006 (inbook)

**How to choose the covariance for Gaussian process regression independently of the basis**
In *Proceedings of the Workshop Gaussian Processes in Practice*, Workshop Gaussian Processes in Practice (GPIP), 2006 (inproceedings)

**Learning operational space control**
In *Robotics: Science and Systems II (RSS 2006)*, pages: 255-262, (Editors: Gaurav S. Sukhatme and Stefan Schaal and Wolfram Burgard and Dieter Fox), Cambridge, MA: MIT Press, RSS , 2006, clmc (inproceedings)

**Reinforcement Learning for Parameterized Motor Primitives**
In *Proceedings of the 2006 International Joint Conference on Neural Networks*, pages: 73-80, IJCNN, 2006, clmc (inproceedings)

**The rate adapting poisson model for information retrieval and object recognition**
In *Proceedings of the 23rd international conference on Machine learning*, pages: 337-344, ICML ’06, ACM, New York, NY, USA, 2006 (inproceedings)

**Policy gradient methods for robotics**
In *Proceedings of the IEEE International Conference on Intelligent Robotics Systems*, pages: 2219-2225, IROS, 2006, clmc (inproceedings)

**Learning Control and Planning from the View of Control Theory and Imitation**
NIPS Workshop "Planning for the Real World: The promises and challenges of dealing with uncertainty", December 2003 (talk)

**Recurrent neural networks from learning attractor dynamics**
NIPS Workshop on RNNaissance: Recurrent Neural Networks, December 2003 (talk)

**How to Deal with Large Dataset, Class Imbalance and Binary Output in SVM based Response
Model**
In *Proc. of the Korean Data Mining Conference*, pages: 93-107, Korean Data Mining Conference, December 2003, Best Paper Award (inproceedings)

**Bayesian Monte Carlo**
In *Advances in Neural Information Processing Systems 15*, pages: 489-496, (Editors: Becker, S. , S. Thrun, K. Obermayer), MIT Press, Cambridge, MA, USA, Sixteenth Annual Conference on Neural Information Processing Systems (NIPS), October 2003 (inproceedings)

**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)

**Control, Planning, Learning, and Imitation
with Dynamic Movement Primitives**
In *IROS 2003*, pages: 1-21, Workshop on Bilateral Paradigms on Humans and Humanoids, IEEE International Conference on Intelligent Robots and Systems, October 2003 (inproceedings)

**Discriminative Learning for Label Sequences via Boosting
**
In *Advances in Neural Information Processing Systems 15*, pages: 977-984, (Editors: Becker, S. , S. Thrun, K. Obermayer ), MIT Press, Cambridge, MA, USA, Sixteenth Annual Conference on Neural Information Processing Systems (NIPS), October 2003 (inproceedings)

**Multiple-step ahead prediction for non linear dynamic systems: A Gaussian Process treatment with propagation of the uncertainty**
In *Advances in Neural Information Processing Systems 15*, pages: 529-536, (Editors: Becker, S. , S. Thrun, K. Obermayer), 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)

**Incremental Gaussian Processes**
In *Advances in Neural Information Processing Systems 15*, pages: 1001-1008, (Editors: Becker, S. , S. Thrun, K. Obermayer), MIT Press, Cambridge, MA, USA, Sixteenth Annual Conference on Neural Information Processing Systems (NIPS), October 2003 (inproceedings)

**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)

**Derivative observations in Gaussian Process models of dynamic systems**
In *Advances in Neural Information Processing Systems 15*, pages: 1033-1040, (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)

**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)

**Large Margin Methods for Label Sequence Learning **
In pages: 993-996, International Speech Communication Association, Bonn, Germany, 8th European Conference on Speech Communication and Technology (EuroSpeech), September 2003 (inproceedings)

**Fast Pattern Selection Algorithm for Support Vector Classifiers: "Time Complexity Analysis"**
In *Lecture Notes in Computer Science (LNCS 2690)*, LNCS 2690, pages: 1008-1015, Springer-Verlag, Heidelberg, The 4th International Conference on Intelligent Data Engineering (IDEAL), September 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)

**Generative Model-based Clustering of Directional Data**
In *Proc. ACK SIGKDD*, pages: 00-00, KDD, August 2003 (inproceedings)

**Hidden Markov Support Vector Machines**
In pages: 4-11, (Editors: Fawcett, T. , N. Mishra), AAAI Press, Menlo Park, CA, USA, Twentieth International Conference on Machine Learning (ICML), August 2003 (inproceedings)

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

**How Many Neighbors To Consider in Pattern Pre-selection for Support Vector Classifiers?**
In *Proc. of INNS-IEEE International Joint Conference on Neural Networks (IJCNN 2003)*, pages: 565-570, IJCNN, July 2003 (inproceedings)

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

**Loss Functions and Optimization Methods for Discriminative Learning of Label Sequences **
In pages: 145-152, (Editors: Collins, M. , M. Steedman), ACL, East Stroudsburg, PA, USA, Conference on Empirical Methods in Natural Language Processing (EMNLP) , July 2003 (inproceedings)

**Time Complexity Analysis of Fast Pattern Selection Algorithm for SVM**
In *Proc. of the Korean Data Mining Conference*, pages: 221-231, Korean Data Mining Conference, June 2003 (inproceedings)

**Fast Pattern Selection for Support Vector Classifiers**
In *PAKDD 2003*, pages: 376-387, (Editors: Whang, K.-Y. , J. Jeon, K. Shim, J. Srivastava), Springer, Berlin, Germany, 7th Pacific-Asia Conference on Knowledge Discovery and Data Mining, May 2003 (inproceedings)

**Scaling Reinforcement Learning Paradigms for Motor Control**
In *JSNC 2003*, 10, pages: 1-7, 10th Joint Symposium on Neural Computation (JSNC), May 2003 (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)

**Blind separation of post-nonlinear mixtures using gaussianizing transformations and temporal decorrelation**
In *ICA 2003*, pages: 269-274, (Editors: Amari, S.-I. , A. Cichocki, S. Makino, N. Murata), 4th International Symposium on Independent Component Analysis and Blind Signal Separation, April 2003 (inproceedings)

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

**Analysing ICA component by injection noise**
In *ICA 2003*, pages: 149-154, (Editors: Amari, S.-I. , A. Cichocki, S. Makino, N. Murata), 4th International Symposium on Independent Component Analysis and Blind Signal Separation, 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)