383 results
(View BibTeX file of all listed publications)

**A PAC-Bayesian Analysis of Co-clustering, Graph Clustering, and Pairwise Clustering**
In *ICML 2010 Workshop on Social Analytics: Learning from human interactions*, pages: 1-5, ICML Workshop on Social Analytics: Learning from human interactions, June 2010 (inproceedings)

**Solving Large-Scale Nonnegative Least Squares**
16th Conference of the International Linear Algebra Society (ILAS), June 2010 (talk)

**Matrix Approximation Problems**
EU Regional School: Rheinisch-Westf{\"a}lische Technische Hochschule Aachen, May 2010 (talk)

**BCI2000 and Python**
Invited lecture at the 7th International BCI2000 Workshop, Pacific Grove, CA, USA, May 2010 (talk)

**Extending BCI2000 Functionality with Your Own C++ Code**
Invited lecture at the 7th International BCI2000 Workshop, Pacific Grove, CA, USA, May 2010 (talk)

**Apprenticeship learning via soft local homomorphisms**
In *Proceedings of the 2010 IEEE International Conference on Robotics and Automation (ICRA 2010)*, pages: 2971-2976, IEEE, Piscataway, NJ, USA, 2010 IEEE International Conference on Robotics and Automation (ICRA), May 2010 (inproceedings)

**Using Model Knowledge for Learning Inverse Dynamics**
In *Proceedings of the 2010 IEEE International Conference on Robotics and Automation (ICRA 2010)*, pages: 2677-2682, IEEE, Piscataway, NJ, USA, 2010 IEEE International Conference on Robotics and Automation (ICRA), May 2010 (inproceedings)

**Coherent Inference on Optimal Play in Game Trees**
In *JMLR Workshop and Conference Proceedings Volume 9: AISTATS 2010*, pages: 326-333, (Editors: Teh, Y.W. , M. Titterington ), JMLR, Cambridge, MA, USA, Thirteenth International Conference on Artificial Intelligence and Statistics, May 2010 (inproceedings)

**Incremental Sparsification for Real-time Online Model Learning**
In *JMLR Workshop and Conference Proceedings Volume 9: AISTATS 2010*, pages: 557-564, (Editors: Teh, Y.W. , M. Titterington), JMLR, Cambridge, MA, USA, Thirteenth International Conference on Artificial Intelligence and Statistics, May 2010 (inproceedings)

**Multitask Learning for Brain-Computer Interfaces**
In *JMLR Workshop and Conference Proceedings Volume 9: AISTATS 2010*, pages: 17-24, (Editors: Teh, Y.W. , M. Titterington), JMLR, Cambridge, MA, USA, Thirteenth International Conference on Artificial Intelligence and Statistics , May 2010 (inproceedings)

**Identifying Cause and Effect on Discrete Data using Additive Noise Models**
In *JMLR Workshop and Conference Proceedings Volume 9: AISTATS 2010*, pages: 597-604, (Editors: YW Teh and M Titterington), JMLR, Cambridge, MA, USA, 13th International Conference on Artificial Intelligence and Statistics, May 2010 (inproceedings)

**Semi-supervised Learning via Generalized Maximum Entropy**
In *JMLR Workshop and Conference Proceedings Volume 9: AISTATS 2010*, pages: 209-216, (Editors: Teh, Y.W. , M. Titterington), JMLR, Cambridge, MA, USA, Thirteenth International Conference on Artificial Intelligence and Statistics , May 2010 (inproceedings)

**A New Algorithm for Improving the Resolution of Cryo-EM Density Maps**
In *Research in Computational Molecular Biology, Lecture Notes in Bioinformatics, Vol. 6044
*, pages: 174-188, (Editors: B Berger), Springer, Berlin, Germany, 14th International Conference on Research in Computational Molecular Biology (RECOMB), May 2010 (inproceedings)

**Movement Templates for Learning of Hitting and Batting**
In *Proceedings of the 2010 IEEE International Conference on Robotics and Automation (ICRA 2010)*, pages: 853-858, IEEE, Piscataway, NJ, USA, 2010 IEEE International Conference on Robotics and Automation (ICRA), May 2010 (inproceedings)

**Solving large-scale nonnegative least squares using an adaptive non-monotonic method**
*24th European Conference on Operational Research (EURO 2010)*, 24, pages: 223, April 2010 (poster)

**Sparse regression via a trust-region proximal method**
*24th European Conference on Operational Research (EURO 2010)*, 24, pages: 278, April 2010 (poster)

**Machine-Learning Methods for Decoding Intentional Brain States**
Symposium "Non-Invasive Brain Computer Interfaces: Current Developments and Applications" (BIOMAG), March 2010 (talk)

**PAC-Bayesian Analysis in Unsupervised Learning**
Foundations and New Trends of PAC Bayesian Learning Workshop, March 2010 (talk)

**PAC-Bayesian Bounds for Discrete Density Estimation and Co-clustering Analysis**
*Workshop "Foundations and New Trends of PAC Bayesian Learning"*, 2010, March 2010 (poster)

**Experiments with Motor Primitives to learn Table Tennis**
In *Experimental Robotics*, pages: 1-13, (Editors: Khatib, O. , V. Kumar, G. Sukhatme), Springer, Berlin, Germany, 12th International Symposium on Experimental Robotics (ISER), March 2010 (inproceedings)

**Causality: Objectives and Assessment**
In *JMLR Workshop and Conference Proceedings: Volume 6
*, pages: 1-42, (Editors: I Guyon and D Janzing and B Schölkopf), MIT Press, Cambridge, MA, USA, Causality: Objectives and Assessment (NIPS Workshop) , February 2010 (inproceedings)

**Learning Motor Primitives for Robotics**
EVENT Lab: Reinforcement Learning in Robotics and Virtual Reality, January 2010 (talk)

**Leveraging Sequence Classification by Taxonomy-based Multitask Learning**
In *Research in Computational Molecular Biology, LNCS, Vol. 6044*, pages: 522-534, (Editors: B Berger), Springer, Berlin, Germany, 14th Annual International Conference, RECOMB, 2010 (inproceedings)

**Probabilistic latent variable models for distinguishing between cause and effect**
In *Advances in Neural Information Processing Systems 23*, pages: 1687-1695, (Editors: J Lafferty and CKI Williams and J Shawe-Taylor and RS Zemel and A Culotta), Curran, Red Hook, NY, USA, 24th Annual Conference on Neural Information Processing Systems (NIPS), 2010 (inproceedings)

**JigPheno: Semantic Feature Extraction in biological images**
In NIPS, Workshop on Machine Learning in Computational Biology, 2010 (inproceedings)

**Nonparametric Tree Graphical Models**
In *Proceedings of the 13th International Conference on Artificial Intelligence and Statistics, Volume 9 *, pages: 765-772, (Editors: YW Teh and M Titterington ), JMLR, AISTATS, 2010 (inproceedings)

**Novel machine learning methods for MHC Class I binding prediction**
In *Pattern Recognition in Bioinformatics*, pages: 98-109, (Editors: TMH Dijkstra and E Tsivtsivadze and E Marchiori and T Heskes), Springer, Berlin, Germany, 5th IAPR International Conference, PRIB, 2010 (inproceedings)

**Bootstrapping Apprenticeship Learning**
In *Advances in Neural Information Processing Systems 23*, pages: 289-297, (Editors: Lafferty, J. , C. K.I. Williams, J. Shawe-Taylor, R. S. Zemel, A. Culotta), Curran, Red Hook, NY, USA, Twenty-Fourth Annual Conference on Neural Information Processing Systems (NIPS), 2010 (inproceedings)

**Distinguishing Causes from Effects using Nonlinear Acyclic Causal Models**
In *JMLR Workshop and Conference Proceedings, Volume 6*, pages: 157-164, (Editors: I Guyon and D Janzing and B Schölkopf), MIT Press, Cambridge, MA, USA, Causality: Objectives and Assessment (NIPS Workshop), 2010 (inproceedings)

**Clustering Based Approach to Learning Regular Expressions over Large Alphabet for Noisy Unstructured Text**
In *Proceedings of the Fourth Workshop on Analytics for Noisy Unstructured Text Data*, pages: 43-50, (Editors: R Basili and DP Lopresti and C Ringlstetter and S Roy and KU Schulz and LV Subramaniam), ACM, AND (in conjunction with CIKM), 2010 (inproceedings)

**Learning the Reward Model of Dialogue POMDPs**
NIPS Workshop on Machine Learning for Assistive Technology (MLAT-2010), 2010 (poster)

**Characteristic Kernels on Structured Domains Excel in Robotics and Human Action Recognition**
In *Machine Learning and Knowledge Discovery in Databases, LNCS Vol. 6321*, pages: 264-279, (Editors: JL Balcázar and F Bonchi and A Gionis and M Sebag), Springer, Berlin, Germany, ECML PKDD, 2010 (inproceedings)

**Movement extraction by detecting dynamics switches and repetitions**
In *Advances in Neural Information Processing Systems 23*, pages: 388-396, (Editors: Lafferty, J. , C. K.I. Williams, J. Shawe-Taylor, R. S. Zemel, A. Culotta), Curran, Red Hook, NY, USA, Twenty-Fourth Annual Conference on Neural Information Processing Systems (NIPS), 2010 (inproceedings)

**Space-Variant Single-Image Blind Deconvolution for Removing Camera Shake**
In *Advances in Neural Information Processing Systems 23*, pages: 829-837, (Editors: J Lafferty and CKI Williams and J Shawe-Taylor and RS Zemel and A Culotta), Curran, Red Hook, NY, USA, 24th Annual Conference on Neural Information Processing Systems (NIPS), 2010 (inproceedings)

**Getting lost in space: Large sample analysis of the resistance distance**
In *Advances in Neural Information Processing Systems 23*, pages: 2622-2630, (Editors: Lafferty, J. , C. K.I. Williams, J. Shawe-Taylor, R. S. Zemel, A. Culotta), Curran, Red Hook, NY, USA, Twenty-Fourth Annual Conference on Neural Information Processing Systems (NIPS), 2010 (inproceedings)

**Distinguishing between cause and effect**
In *JMLR Workshop and Conference Proceedings: Volume 6*, pages: 147-156, (Editors: Guyon, I. , D. Janzing, B. Schölkopf), MIT Press, Cambridge, MA, USA, Causality: Objectives and Assessment (NIPS Workshop) , 2010 (inproceedings)

**Erste Erfahrungen bei der Beurteilung hämato-onkologischer Krankheitsmanifestationen an den Extremitäten mit einem PET/MRT-Hybridsystem.**
Thieme Verlag, Stuttgart, Germany, 91. Deutscher R{\"o}ntgenkongress, 2010 (poster)

**Kernel Methods for Detecting the Direction of Time Series **
In *Advances in Data Analysis, Data Handling and Business Intelligence*, pages: 57-66, (Editors: A Fink and B Lausen and W Seidel and A Ultsch), Springer, Berlin, Germany, 32nd Annual Conference of the Gesellschaft f{\"u}r Klassifikation e.V. (GfKl), 2010 (inproceedings)

**Switched Latent Force Models for Movement Segmentation**
In *Advances in neural information processing systems 23*, pages: 55-63, (Editors: J Lafferty and CKI Williams and J Shawe-Taylor and RS Zemel and A Culotta), Curran, Red Hook, NY, USA, 24th Annual Conference on Neural Information Processing Systems (NIPS), 2010 (inproceedings)

**Naı̈ve Security in a Wi-Fi World**
In *Trust Management IV - 4th IFIP WG 11.11 International Conference Proceedings*, pages: 32-47, (Editors: Nishigaki, M., Josang, A., Murayama, Y., Marsh, S.), IFIPTM, 2010 (inproceedings)

**Spectral clustering and transductive inference for graph data**
NIPS Workshop on Kernel Methods and Structured Domains, December 2005 (talk)

**Kernel ICA for Large Scale Problems**
In pages: -, NIPS Workshop on Large Scale Kernel Machines, December 2005 (inproceedings)

**Infinite dimensional exponential families by reproducing kernel Hilbert spaces**
In *IGAIA 2005*, pages: 324-333, 2nd International Symposium on Information Geometry and its Applications, December 2005 (inproceedings)

**Some thoughts about Gaussian Processes**
NIPS Workshop on Open Problems in Gaussian Processes for Machine Learning, December 2005 (talk)

Chapelle, O.
**A taxonomy of semi-supervised learning algorithms**
Yahoo!, December 2005 (talk)

**Shortest-path kernels on graphs**
In pages: 74-81, IEEE Computer Society, Los Alamitos, CA, USA, Fifth International Conference on Data Mining (ICDM), November 2005 (inproceedings)

**Kernel methods for dependence testing in LFP-MUA**
35(689.17), 35th Annual Meeting of the Society for Neuroscience (Neuroscience), November 2005 (poster)

**Training Support Vector Machines with Multiple Equality Constraints **
In *Proceedings of the 16th European Conference on Machine Learning, Lecture Notes in Computer Science, Vol. 3720*, pages: 182-193, (Editors: JG Carbonell and J Siekmann), Springer, Berlin, Germany, ECML, November 2005 (inproceedings)

**Measuring Statistical Dependence with Hilbert-Schmidt Norms**
In *Algorithmic Learning Theory, Lecture Notes in Computer Science, Vol. 3734*, pages: 63-78, (Editors: S Jain and H-U Simon and E Tomita), Springer, Berlin, Germany, 16th International Conference ALT, October 2005 (inproceedings)

**An Analysis of the Anti-Learning Phenomenon for the Class Symmetric Polyhedron**
In *Algorithmic Learning Theory: 16th International Conference*, pages: 78-92, Algorithmic Learning Theory, October 2005 (inproceedings)