100 results
(View BibTeX file of all listed publications)

**Statistical mechanics analysis of sparse data**
*Journal of Structural Biology*, 173(3):541-548, March 2011 (article)

**Large Scale Bayesian Inference and Experimental Design for Sparse Linear Models**
*SIAM Journal on Imaging Sciences*, 4(1):166-199, March 2011 (article)

**Cooperative Cuts**
COSA Workshop: Combinatorial Optimization, Statistics, and Applications, March 2011 (talk)

**Learning grasp affordance densities**
*Paladyn: Journal of Behavioral Robotics*, 2(1):1-17, March 2011 (article)

**Client–Server Multitask Learning From Distributed Datasets**
*IEEE Transactions on Neural Networks*, 22(2):290-303, February 2011 (article)

**Extraction of functional information from ongoing brain electrical activity: Extraction en temps-réel d’informations fonctionnelles à partir de l’activité électrique cérébrale **
*IRBM*, 32(1):27-34, February 2011 (article)

**Learning Visual Representations for Perception-Action Systems**
*International Journal of Robotics Research*, 30(3):294-307, February 2011 (article)

**Multi-way set enumeration in weight tensors**
*Machine Learning*, 82(2):123-155, February 2011 (article)

**A graphical model framework for decoding in the visual ERP-based BCI speller**
*Neural Computation*, 23(1):160-182, January 2011 (article)

**Robust Control of Teleoperation Systems Interacting with Viscoelastic Soft Tissues**
*IEEE Transactions on Control Systems Technology*, January 2011 (article) In revision

**Effect of Control Parameters and Haptic Cues on Human Perception for Remote Operations**
*Experimental Brain Research*, January 2011 (article) Submitted

**Joint Genetic Analysis of Gene Expression Data with Inferred Cellular Phenotypes**
*PLoS Genetics*, 7(1):1-10, January 2011 (article)

**Reinforcement Learning with Bounded Information Loss**
*AIP Conference Proceedings*, 1305(1):365-372, 2011 (article)

**Handbook of Statistical Bioinformatics**
pages: 627, Springer Handbooks of Computational Statistics, Springer, Berlin, Germany, 2011 (book)

**Model Learning in Robot Control**
Albert-Ludwigs-Universität Freiburg, Germany, 2011 (phdthesis)

**Kernel Methods for Measuring Independence**
*Journal of Machine Learning Research*, 6, pages: 2075-2129, December 2005 (article)

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

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

**A Unifying View of Sparse Approximate Gaussian Process Regression**
*Journal of Machine Learning Research*, 6, pages: 1935-1959, December 2005 (article)

**Extension to Kernel Dependency Estimation with Applications to Robotics**
Biologische Kybernetik, Technische Universität Berlin, Berlin, November 2005 (phdthesis)

**Geometrical aspects of statistical learning theory**
Biologische Kybernetik, Darmstadt, Darmstadt, November 2005 (phdthesis)

**Maximal Margin Classification for Metric Spaces**
*Journal of Computer and System Sciences*, 71(3):333-359, October 2005 (article)

**Selective integration of multiple biological data for supervised
network inference**
*Bioinformatics*, 21(10):2488 , October 2005 (article)

**Assessing Approximate Inference for Binary Gaussian Process Classification**
*Journal of Machine Learning Research*, 6, pages: 1679 , October 2005 (article)

**Implicit Surfaces For Modelling
Human Heads**
Biologische Kybernetik, Eberhard-Karls-Universität, Tübingen, September 2005 (diplomathesis)

**Clustering on the Unit Hypersphere using von Mises-Fisher Distributions**
*Journal of Machine Learning Research*, 6, pages: 1345-1382, September 2005 (article)

**Support Vector Machines for 3D Shape Processing**
*Computer Graphics Forum*, 24(3, EUROGRAPHICS 2005):285-294, September 2005 (article)

**Fast Protein Classification with Multiple Networks**
*Bioinformatics*, 21(Suppl. 2):59-65, September 2005 (article)

**Iterative Kernel Principal Component Analysis for Image Modeling**
*IEEE Transactions on Pattern Analysis and Machine Intelligence*, 27(9):1351-1366, September 2005 (article)

**Machine Learning Methods for Brain-Computer Interdaces**
Biologische Kybernetik, University of Darmstadt, September 2005 (phdthesis)

**Phenotypic characterization of chondrosarcoma-derived cell lines**
*Cancer Letters*, 226(2):143-154, August 2005 (article)

**Local Rademacher Complexities**
*The Annals of Statistics*, 33(4):1497-1537, August 2005 (article)

**Building Sparse Large Margin Classifiers**
The 22nd International Conference on Machine Learning (ICML), August 2005 (talk)

**Learning from Labeled and Unlabeled Data on a Directed Graph**
The 22nd International Conference on Machine Learning, August 2005 (talk)

**Learning the Kernel with Hyperkernels**
*Journal of Machine Learning Research*, 6, pages: 1043-1071, July 2005 (article)

**Machine-Learning Approaches to BCI in Tübingen**
Brain-Computer Interface Technology, June 2005, Talk given by NJH. (talk)

**Image Reconstruction by Linear Programming**
*IEEE Transactions on Image Processing*, 14(6):737-744, June 2005 (article)

**RASE: recognition of alternatively spliced exons in C.elegans**
*Bioinformatics*, 21(Suppl. 1):i369-i377, June 2005 (article)

**Matrix Exponentiated Gradient Updates for On-line Learning and Bregman Projection**
*Journal of Machine Learning Research*, 6, pages: 995-1018, June 2005 (article)

**Texture and haptic cues in slant discrimination: Reliability-based cue weighting without statistically optimal cue combination**
*Journal of the Optical Society of America A*, 22(5):801-809, May 2005 (article)

**Efficient Adaptive Sampling of the Psychometric Function by Maximizing Information Gain**
Biologische Kybernetik, Eberhard-Karls University Tübingen, Tübingen, Germany, May 2005 (diplomathesis)

**Bayesian inference for psychometric functions**
*Journal of Vision*, 5(5):478-492, May 2005 (article)

**A gene expression map of Arabidopsis thaliana development**
*Nature Genetics*, 37(5):501-506, April 2005 (article)

**Experimentally optimal v in support vector regression for different noise models and parameter settings**
*Neural Networks*, 18(2):205-205, March 2005 (article)

**Kernel Constrained Covariance for Dependence Measurement**
AISTATS, January 2005 (talk)

**Invariance of Neighborhood Relation under Input Space to Feature Space Mapping**
*Pattern Recognition Letters*, 26(6):707-718, 2005 (article)

**Theory of Classification: A Survey of Some Recent Advances**
*ESAIM: Probability and Statistics*, 9, pages: 323 , 2005 (article)

**Moment Inequalities for Functions of Independent Random Variables**
*To appear in Annals of Probability*, 33, pages: 514-560, 2005 (article)

**A tutorial on v-support vector machines**
*Applied Stochastic Models in Business and Industry*, 21(2):111-136, 2005 (article)

**Robust EEG Channel Selection Across Subjects for Brain Computer Interfaces**
*EURASIP Journal on Applied Signal Processing*, 2005(19, Special Issue: Trends in Brain Computer Interfaces):3103-3112, (Editors: Vesin, J. M., T. Ebrahimi), 2005 (article)