28 results
(View BibTeX file of all listed publications)

**Nonparametric Disturbance Correction and Nonlinear Dual Control**
(24098), ETH Zurich, 2017 (phdthesis)

**Development and Evaluation of a Portable BCI System for Remote Data Acquisition**
Graduate School of Neural Information Processing, Eberhard Karls Universität Tübingen, Germany, 2017 (mastersthesis)

**Brain-Computer Interfaces for patients with Amyotrophic Lateral Sclerosis**
Eberhard Karls Universität Tübingen, Germany, 2017 (phdthesis)

**Causal models for decision making via integrative inference**
University of Stuttgart, Germany, 2017 (phdthesis)

**Learning Optimal Configurations for Modeling Frowning by Transcranial Electrical Stimulation**
Graduate School of Neural Information Processing, Eberhard Karls Universität Tübingen, Germany, 2017 (mastersthesis)

Zhou, D.
**How to learn from very few examples?**
October 2004 (talk)

Zhou, D.
**Discrete vs. Continuous: Two Sides of Machine Learning**
October 2004 (talk)

Zhou, D.
**Discrete vs. Continuous: Two Sides of Machine Learning**
October 2004 (talk)

**Independent component analysis and beyond**
Biologische Kybernetik, Universität Potsdam, Potsdam, October 2004 (phdthesis)

**Grundlagen von Support Vector Maschinen und Anwendungen in der Bildverarbeitung**
September 2004 (talk)

**The benefit of liquid Helium cooling for Cryo-Electron Tomography: A quantitative
comparative study**
The thirteenth European Microscopy Congress, August 2004 (talk)

**Exploration of combining Echo-State Network Learning with Recurrent Neural Network Learning techniques**
Biologische Kybernetik, International University Bremen, Bremen, Germany, May 2004 (diplomathesis)

**Computational Analysis of Gene Expression Data**
(4), Biologische Kybernetik, March 2004 (phdthesis)

Bousquet, O.
**Introduction to Category Theory**
Internal Seminar, January 2004 (talk)

**The p53 Oligomerization Domain: Sequence-Structure Relationships and the Design and Characterization of Altered Oligomeric States**
University of Toronto, Canada, University of Toronto, Canada, 2004 (phdthesis)

**Statistical Learning with Similarity and Dissimilarity Functions**
pages: 1-166, Technische Universität Berlin, Germany, Technische Universität Berlin, Germany, 2004 (phdthesis)

**Classification and Feature Extraction in Man and Machine**
Biologische Kybernetik, University of Tübingen, Germany, 2004, online publication (phdthesis)

Bousquet, O.
**Advanced Statistical Learning Theory**
Machine Learning Summer School, 2004 (talk)

**Nonlinear Multivariate Analysis with Geodesic Kernels**
Biologische Kybernetik, Technische Universität Berlin, February 2002 (diplomathesis)

Bousquet, O.
**Transductive Learning: Motivation, Models, Algorithms**
January 2002 (talk)

**Concentration Inequalities and Empirical Processes Theory Applied to the Analysis of Learning Algorithms**
Biologische Kybernetik, Ecole Polytechnique, 2002 (phdthesis) Accepted

**Support Vector Machines: Induction Principle, Adaptive Tuning and Prior Knowledge**
Biologische Kybernetik, 2002 (phdthesis)

**Variationsverfahren zur Untersuchung von
Grundzustandseigenschaften des Ein-Band Hubbard-Modells**
Biologische Kybernetik, Technische Universität Dresden, Dresden/Germany, May 2001 (diplomathesis)

**Cerebellar Control of Robot Arms**
Biologische Kybernetik, Technische Univeristät München, München, Germany, 2001 (diplomathesis)

**On Unsupervised Learning of Mixtures of Markov Sources**
Biologische Kybernetik, The Hebrew University of Jerusalem, Israel, 2001 (diplomathesis)

**Support Vector Machines: Theorie und Anwendung auf Prädiktion epileptischer Anfälle auf der Basis von EEG-Daten**
Biologische Kybernetik, Institut für Angewandte Mathematik, Universität Bonn, 2001, Advised by Prof. Dr. S. Albeverio (diplomathesis)