73 results
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**A Review of Performance Variations in SMR-Based Brain–Computer Interfaces (BCIs)**
In *Brain-Computer Interface Research*, pages: 39-51, 4, SpringerBriefs in Electrical and Computer Engineering, (Editors: Guger, C., Allison, B. Z. and Edlinger, G.), Springer, 2013 (inbook)

**Coupling between spiking activity and beta band spatio-temporal patterns in the macaque PFC**
43rd Annual Meeting of the Society for Neuroscience (Neuroscience), 2013 (poster)

**Gaussian Process Vine Copulas for Multivariate Dependence**
International Conference on Machine Learning (ICML), 2013 (poster)

**Domain Generalization via Invariant Feature Representation**
30th International Conference on Machine Learning (ICML2013), 2013 (poster)

**Semi-supervised learning in causal and anticausal settings**
In *Empirical Inference*, pages: 129-141, 13, Festschrift in Honor of Vladimir Vapnik, (Editors: Schölkopf, B., Luo, Z. and Vovk, V.), Springer, 2013 (inbook)

**Analyzing locking of spikes to spatio-temporal patterns in the macaque prefrontal cortex**
Bernstein Conference, 2013 (poster)

**Tractable large-scale optimization in machine learning**
In *Tractability: Practical Approaches to Hard Problems*, pages: 202-230, 7, (Editors: Bordeaux, L., Hamadi , Y., Kohli, P. and Mateescu, R. ), Cambridge University Press , 2013 (inbook)

**One-class Support Measure Machines for Group Anomaly Detection**
29th Conference on Uncertainty in Artificial Intelligence (UAI), 2013 (poster)

**The Randomized Dependence Coefficient**
Neural Information Processing Systems (NIPS), 2013 (poster)

**Characterization of different types of sharp-wave ripple signatures in the CA1 of the macaque hippocampus**
4th German Neurophysiology PhD Meeting Networks, 2013 (poster)

**On the Relations and Differences between Popper Dimension, Exclusion Dimension and VC-Dimension**
In *Empirical Inference - Festschrift in Honor of Vladimir N. Vapnik*, pages: 53-57, 6, (Editors: Schölkopf, B., Luo, Z. and Vovk, V.), Springer, 2013 (inbook)

**Empirical Inference - Festschrift in Honor of Vladimir N. Vapnik**
Springer, 2013 (book)

**Projected Newton-type methods in machine learning**
In *Optimization for Machine Learning*, pages: 305-330, (Editors: Sra, S., Nowozin, S. and Wright, S. J.), MIT Press, Cambridge, MA, USA, December 2011 (inbook)

**Optimization for Machine Learning**
pages: 494, Neural information processing series, MIT Press, Cambridge, MA, USA, December 2011 (book)

**Spatiotemporal mapping of rhythmic activity in the inferior convexity of the macaque prefrontal cortex**
41(239.15), 41st Annual Meeting of the Society for Neuroscience (Neuroscience), November 2011 (poster)

**Evaluation and Optimization of MR-Based Attenuation Correction Methods in Combined Brain PET/MR**
2011(MIC18.M-96), 2011 IEEE Nuclear Science Symposium, Medical Imaging Conference (NSS-MIC), October 2011 (poster)

**Atlas- and Pattern Recognition Based Attenuation Correction on Simultaneous Whole-Body PET/MR**
2011(MIC18.M-116), 2011 IEEE Nuclear Science Symposium, Medical Imaging Conference (NSS-MIC), October 2011 (poster)

**Retrospective blind motion correction of MR images**
*Magnetic Resonance Materials in Physics, Biology and Medicine*, 24(Supplement 1):498, 28th Annual Scientific Meeting ESMRMB, October 2011 (poster)

**Model based reconstruction for GRE EPI**
*Magnetic Resonance Materials in Physics, Biology and Medicine*, 24(Supplement 1):493-494, 28th Annual Scientific Meeting ESMRMB, October 2011 (poster)

**Simultaneous multimodal imaging of patients with bronchial carcinoma in a whole body MR/PET system**
*Magnetic Resonance Materials in Physics, Biology and Medicine*, 24(Supplement 1):141, 28th annual scientific meeting of the European Society for Magnetic Resonance in Medicine and Biology (ESMRB), October 2011 (poster)

**Bayesian Time Series Models**
pages: 432, Cambridge University Press, Cambridge, UK, August 2011 (book)

**Statistical Learning Theory: Models, Concepts, and Results**
In *Handbook of the History of Logic, Vol. 10: Inductive Logic*, 10, pages: 651-706, (Editors: Gabbay, D. M., Hartmann, S. and Woods, J. H.), Elsevier North Holland, Amsterdam, Netherlands, May 2011 (inbook)

**Robot Learning**
In *Encyclopedia of Machine Learning*, pages: 865-869, Encyclopedia of machine learning, (Editors: Sammut, C. and Webb, G. I.), Springer, New York, NY, USA, January 2011 (inbook)

**Support Vector Machines for finding deletions and short insertions using paired-end short reads**
International Conference on Intelligent Systems for Molecular Biology (ISMB), 2011 (poster)

**What You Expect Is What You Get? Potential Use of Contingent Negative Variation for Passive BCI Systems in Gaze-Based HCI**
In *Affective Computing and Intelligent Interaction*, 6975, pages: 447-456, Lecture Notes in Computer Science, (Editors: D’Mello, S., Graesser, A., Schuller, B. and Martin, J.-C.), Springer, Berlin, Germany, 2011 (inbook)

**Expectation Propagation for the Estimation of Conditional Bivariate Copulas**
2011 (poster)

**Kernel Methods in Bioinformatics **
In *Handbook of Statistical Bioinformatics*, pages: 317-334, Springer Handbooks of Computational Statistics ; 3, (Editors: Lu, H.H.-S., Schölkopf, B. and Zhao, H.), Springer, Berlin, Germany, 2011 (inbook)

**Statistical estimation for optimization problems on graphs**
Empirical Inference Symposium, 2011 (poster)

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

**Cue Combination: Beyond Optimality**
In *Sensory Cue Integration*, pages: 144-152, (Editors: Trommershäuser, J., Körding, K. and Landy, M. S.), Oxford University Press, 2011 (inbook)

**Transfer Learning with Copulas**
Neural Information Processing Systems (NIPS), 2011 (poster)

**Some observations on the pedestal effect or dipper function**
*Journal of Vision*, 6(13):50, 2006 Fall Vision Meeting of the Optical Society of America, December 2006 (poster)

**Prediction of Protein Function from Networks**
In *Semi-Supervised Learning*, pages: 361-376, Adaptive Computation and Machine Learning, (Editors: Chapelle, O. , B. Schölkopf, A. Zien), MIT Press, Cambridge, MA, USA, November 2006 (inbook)

**Discrete Regularization**
In *Semi-supervised Learning*, pages: 237-250, Adaptive computation and machine learning, (Editors: O Chapelle and B Schölkopf and A Zien), MIT Press, Cambridge, MA, USA, November 2006 (inbook)

**Optimizing Spatial Filters for BCI: Margin- and Evidence-Maximization Approaches**
*Challenging Brain-Computer Interfaces: MAIA Workshop 2006*, pages: 1, November 2006 (poster)

**Learning Eye Movements**
*Sensory Coding And The Natural Environment*, 2006, pages: 1, September 2006 (poster)

**Semi-Supervised Learning**
pages: 508, Adaptive computation and machine learning, MIT Press, Cambridge, MA, USA, September 2006 (book)

**Classification of natural scenes: Critical features revisited**
*Journal of Vision*, 6(6):561, 6th Annual Meeting of the Vision Sciences Society (VSS), June 2006 (poster)

**The pedestal effect is caused by off-frequency looking, not nonlinear transduction or contrast gain-control**
*Journal of Vision*, 6(6):194, 6th Annual Meeting of the Vision Sciences Society (VSS), June 2006 (poster)

**The Pedestal Effect is Caused by Off-Frequency Looking, not Nonlinear Transduction or Contrast Gain-Control**
9, pages: 174, 9th T{\"u}bingen Perception Conference (TWK), March 2006 (poster)

**Efficient tests for the deconvolution hypothesis**
*Workshop on Statistical Inverse Problems*, March 2006 (poster)

**Classification of Natural Scenes: Critical Features Revisited**
9, pages: 92, 9th T{\"u}bingen Perception Conference (TWK), March 2006 (poster)

**Factorial Coding of Natural Images: How Effective are Linear Models in Removing Higher-Order Dependencies?**
9, pages: 90, 9th T{\"u}bingen Perception Conference (TWK), March 2006 (poster)

**Nonstationary Gaussian Process Regression using a Latent Extension of the Input Space**
pages: 3, January 2006 (poster)

**Gaussian Processes for Machine Learning**
pages: 248, Adaptive Computation and Machine Learning, MIT Press, Cambridge, MA, USA, January 2006 (book)

**Classification of natural scenes: critical features revisited**
*Experimentelle Psychologie: Beitr{\"a}ge zur 48. Tagung experimentell arbeitender Psychologen*, 48, pages: 251, 2006 (poster)

**Texture and haptic cues in slant discrimination: combination is sensitive to reliability but not statistically optimal**
*Beitr{\"a}ge zur 48. Tagung experimentell arbeitender Psychologen (TeaP 2006)*, 48, pages: 80, 2006 (poster)

**Combining a Filter Method with SVMs**
In *Feature Extraction: Foundations and Applications, Studies in Fuzziness and Soft Computing, Vol. 207*, pages: 439-446, Studies in Fuzziness and Soft Computing ; 207, (Editors: I Guyon and M Nikravesh and S Gunn and LA Zadeh), Springer, Berlin, Germany, 2006 (inbook)

**Embedded methods**
In *Feature Extraction: Foundations and Applications*, pages: 137-165, Studies in Fuzziness and Soft Computing ; 207, (Editors: Guyon, I. , S. Gunn, M. Nikravesh, L. A. Zadeh), Springer, Berlin, Germany, 2006 (inbook)

**Ähnlichkeitsmasse in Modellen zur Kategorienbildung**
*Experimentelle Psychologie: Beitr{\"a}ge zur 48. Tagung experimentell arbeitender Psychologen*, 48, pages: 223, 2006 (poster)