41 results
(View BibTeX file of all listed publications)

**Reaction graph kernels for discovering missing enzymes in the plant secondary metabolism**
NIPS Workshop on Machine Learning in Computational Biology, December 2007 (talk)

**Positional Oligomer Importance Matrices**
NIPS Workshop on Machine Learning in Computational Biology, December 2007 (talk)

**Machine Learning Algorithms for Polymorphism Detection**
NIPS Workshop on Machine Learning in Computational Biology, December 2007 (talk)

**An Automated Combination of Kernels for Predicting Protein Subcellular Localization**
NIPS Workshop on Machine Learning in Computational Biology, December 2007 (talk)

**Challenges in Brain-Computer Interface Development: Induction, Measurement, Decoding, Integration**
Invited keynote talk at the launch of BrainGain, the Dutch BCI research consortium, November 2007 (talk)

**Some Theoretical Aspects of Human Categorization Behavior: Similarity and Generalization**
Biologische Kybernetik, Eberhard-Karls-Universität Tübingen, Tübingen, Germany, November 2007, passed with "ausgezeichnet", summa cum laude, published online (phdthesis)

**Statistical Learning Theory Approaches to Clustering**
Biologische Kybernetik, Eberhard-Karls-Universität Tübingen, Tübingen, Germany, November 2007 (diplomathesis)

**Policy Learning for Robotics**
14th International Conference on Neural Information Processing (ICONIP), November 2007 (talk)

**Hilbert Space Representations of Probability Distributions**
2nd Workshop on Machine Learning and Optimization at the ISM, October 2007 (talk)

**Regression with Intervals**
International Workshop on Data-Mining and Statistical Science (DMSS2007), October 2007, JSAI Incentive Award. Talk was given by Hisashi Kashima. (talk)

**MR-Based PET Attenuation Correction: Method and Validation**
Joint Molecular Imaging Conference, September 2007 (talk)

**Predicting Structured Data**
pages: 360, Advances in neural information processing systems, MIT Press, Cambridge, MA, USA, September 2007 (book)

**Bayesian methods for NMR structure determination**
29th Annual Discussion Meeting: Magnetic Resonance in Biophysical Chemistry, September 2007 (talk)

**Collaborative Filtering via Ensembles of Matrix Factorizations**
KDD Cup and Workshop, August 2007 (talk)

**Thinking Out Loud: Research and Development of Brain Computer Interfaces**
Invited keynote talk at the Max Planck Society‘s PhDNet Workshop., July 2007 (talk)

**Error Correcting Codes for the P300 Visual Speller**
Biologische Kybernetik, Eberhard-Karls-Universität Tübingen, Tübingen, Germany, July 2007 (diplomathesis)

**Local Learning Algorithms for Transductive Classification, Clustering and Data Projection**
Yahoo Inc., July 2007 (talk)

**Dirichlet Process Mixtures of Factor Analysers**
Fifth Workshop on Bayesian Inference in Stochastic Processes (BSP5), June 2007 (talk)

**New BCI approaches: Selective Attention to Auditory and Tactile Stimulus Streams**
Invited talk at the PASCAL Workshop on Methods of Data Analysis in Computational Neuroscience and Brain Computer Interfaces, June 2007 (talk)

**Towards Motor Skill Learning in Robotics**
Interactive Robot Learning - RSS workshop, June 2007 (talk)

**Transductive Support Vector Machines for Structured Variables**
International Conference on Machine Learning (ICML), June 2007 (talk)

**Impact of target-to-target interval on classification performance in the P300 speller**
Scientific Meeting "Applied Neuroscience for Healthy Brain Function", May 2007 (talk)

**Nonparametric Bayesian Discrete Latent Variable Models for Unsupervised Learning**
Biologische Kybernetik, Technische Universität Berlin, Berlin, Germany, April 2007, published online (phdthesis)

**Applications of Kernel Machines to Structured Data**
Biologische Kybernetik, Technische Universität Berlin, Berlin, Germany, March 2007, passed with "sehr gut", published online (phdthesis)

**A priori Knowledge from Non-Examples**
Biologische Kybernetik, Eberhard-Karls-Universität Tübingen, Tübingen, Germany, March 2007 (diplomathesis)

**Machine Learning for Mass Production and Industrial Engineering**
Biologische Kybernetik, Eberhard-Karls-Universität Tübingen, Tübingen, Germany, February 2007 (phdthesis)

**New Margin- and Evidence-Based Approaches for EEG Signal Classification**
Invited talk at the FaSor Jahressymposium, February 2007 (talk)

**Development of a Brain-Computer Interface Approach Based on Covert Attention to Tactile Stimuli**
University of Tübingen, Germany, University of Tübingen, Germany, January 2007 (diplomathesis)

**A Machine Learning Approach for Estimating the Attenuation Map for a Combined PET/MR Scanner**
Biologische Kybernetik, Max-Planck Institute for Biological Cybernetics, Tübingen, Germany, 2007 (diplomathesis)

**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)

**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)

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

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

**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)

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

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

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

**Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond**
pages: 644, Adaptive Computation and Machine Learning, MIT Press, Cambridge, MA, USA, December 2002, Parts of this book, including an introduction to kernel methods, can be downloaded here. (book)