142 results
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**Justifying Information-Geometric Causal Inference**
In *Measures of Complexity: Festschrift for Alexey Chervonenkis*, pages: 253-265, 18, (Editors: Vovk, V., Papadopoulos, H. and Gammerman, A.), Springer, 2015 (inbook)

**The search for single exoplanet transits in the Kepler light curves**
*IAU General Assembly*, 22, pages: 2258352, 2015 (talk)

**Entropic Movement Complexity Reflects Subjective Creativity Rankings of Visualized Hand Motion Trajectories**
*Frontiers in Psychology*, 6(1879):1-13, December 2015 (article)

**Bounded rationality, abstraction and hierarchical decision-making: an information-theoretic optimality principle**
*Frontiers in Robotics and AI*, 2(27):1-24, October 2015 (article)

**Signaling equilibria in sensorimotor interactions**
*Cognition*, 141, pages: 73-86, August 2015 (article)

**Structure Learning in Bayesian Sensorimotor Integration**
*PLoS Computational Biology*, 11(8):1-27, August 2015 (article)

**A Reward-Maximizing Spiking Neuron as a Bounded Rational Decision Maker**
*Neural Computation*, 27(8):1686-1720, July 2015 (article)

**What is epistemic value in free energy models of learning and acting? A bounded rationality perspective**
*Cognitive Neuroscience*, 6(4):215-216, December 2015 (article)

**On the representation, learning and transfer of spatio-temporal movement characteristics**
*International Journal of Humanoid Robotics*, 1(4):613-636, December 2004 (article)

**Insect-inspired estimation of egomotion**
*Neural Computation*, 16(11):2245-2260, November 2004 (article)

**Efficient face detection by a cascaded support-vector machine expansion**
*Proceedings of The Royal Society of London A*, 460(2501):3283-3297, A, November 2004 (article)

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)

**Advanced Lectures on Machine Learning**
*ML Summer Schools 2003*, LNAI 3176, pages: 240, Springer, Berlin, Germany, ML Summer Schools, September 2004 (proceedings)

**Pattern Recognition: 26th DAGM Symposium, LNCS, Vol. 3175**
*Proceedings of the 26th Pattern Recognition Symposium (DAGM‘04)*, pages: 581, Springer, Berlin, Germany, 26th Pattern Recognition Symposium, August 2004 (proceedings)

**Learning kernels from biological networks by maximizing entropy**
*Bioinformatics*, 20(Suppl. 1):i326-i333, August 2004 (article)

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

**Masking effect produced by Mach bands on the detection of narrow bars of random polarity**
*Journal of the Optical Society of America*, 21(8):1379-1387, A, August 2004 (article)

**Analysis of differential gene expression in healthy and osteoarthritic cartilage and isolated chondrocytes by microarray analysis**
In Volume 1: Cellular and Molecular Tools, pages: 109-128, (Editors: Sabatini, M., P. Pastoureau and F. De Ceuninck), Humana Press, July 2004 (inbook)

**Support Vector Channel Selection in BCI**
*IEEE Transactions on Biomedical Engineering*, 51(6):1003-1010, June 2004 (article)

**Distance-Based Classification with Lipschitz Functions**
*Journal of Machine Learning Research*, 5, pages: 669-695, June 2004 (article)

**Advances in Neural Information Processing Systems 16: Proceedings of the 2003 Conference**
*Proceedings of the Seventeenth Annual Conference on Neural Information Processing Systems (NIPS 2003)*, pages: 1621, MIT Press, Cambridge, MA, USA, 17th Annual Conference on Neural Information Processing Systems (NIPS), June 2004 (proceedings)

**Distributed Command Execution**
In *BSD Hacks: 100 industrial-strength tips & tools*, pages: 152-152, (Editors: Lavigne, Dru), O’Reilly, Beijing, May 2004 (inbook)

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

**cDNA-Microarray Technology in Cartilage Research - Functional Genomics of Osteoarthritis [in German]**
*Zeitschrift f{\"u}r Orthop{\"a}die und ihre Grenzgebiete*, 142(2):241-247, April 2004 (article)

**A Compression Approach to Support Vector Model Selection**
*Journal of Machine Learning Research*, 5, pages: 293-323, April 2004 (article)

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

**Injecting noise for analysing the stability of ICA components**
*Signal Processing*, 84(2):255-266, February 2004 (article)

**Independent component analysis and beyond**
*Signal Processing*, 84(2):215-216, February 2004 (article)

**Experimentally optimal v in support vector regression for different noise models and parameter settings**
*Neural Networks*, 17(1):127-141, January 2004 (article)

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

**Constant infusion H215O PET and acetazolamide challenge in the assessment of the cerebral perfusion status**
*Journal of Nuclear Medicine*, (45):1344-1349, 2004 (article)

**Local Alignment Kernels for Biological Sequences**
In *Kernel Methods in Computational Biology*, pages: 131-153, MIT Press, Cambridge, MA,, 2004 (inbook)

**Protein ranking: from local to global structure in the protein similarity network**
*Proceedings of the National Academy of Science*, 101(17):6559-6563, 2004 (article)

**Gaussian Processes in Machine Learning**
In 3176, pages: 63-71, Lecture Notes in Computer Science, (Editors: Bousquet, O., U. von Luxburg and G. Rätsch), Springer, Heidelberg, 2004, Copyright by Springer (inbook)

**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 Performance of Support Vector Machines**
2004 (article)

**Asymptotic Properties of the Fisher Kernel**
*Neural Computation*, 16(1):115-137, 2004 (article)

**Some observations on the effects of slant and texture type on slant-from-texture**
*Vision Research*, 44(13):1511-1535, 2004 (article)

**Protein homology detection using string alignment kernels**
*Bioinformatics*, 20(11):1682-1689, 2004 (article)

**Minimizing the Cross Validation Error to Mix Kernel Matrices of Heterogeneous Biological Data**
*Neural Processing Letters*, 19, pages: 63-72, 2004 (article)

**A Tutorial on Support Vector Regression**
*Statistics and Computing*, 14(3):199-222, 2004 (article)

**Protein Classification via Kernel Matrix Completion**
In pages: 261-274, (Editors: Schoelkopf, B., K. Tsuda and J.P. Vert), MIT Press, Cambridge, MA; USA, 2004 (inbook)

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

**Bayesian analysis of the Scatterometer Wind Retrieval Inverse Problem: Some New Approaches**
*Journal of the Royal Statistical Society B*, 66, pages: 1-17, 3, 2004 (article)