422 results
(View BibTeX file of all listed publications)

**The Effect of Artifacts on Dependence Measurement in fMRI**
*Magnetic Resonance Imaging*, 24(4):401-409, April 2006 (article)

**Phase noise and the classification of natural images**
*Vision Research*, 46(8-9):1520-1529, April 2006 (article)

**A Direct Method for Building Sparse Kernel Learning Algorithms**
*Journal of Machine Learning Research*, 7, pages: 603-624, April 2006 (article)

**An Inventory of Sequence Polymorphisms For Arabidopsis**
17th International Conference on Arabidopsis Research, April 2006 (talk)

**Estimating Predictive Variances with Kernel Ridge Regression**
In *MLCW 2005*, pages: 56-77, (Editors: Quinonero-Candela, J. , I. Dagan, B. Magnini, F. D‘Alché-Buc), Springer, Berlin, Germany, First PASCAL Machine Learning Challenges Workshop, April 2006 (inproceedings)

**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)

**Statistical Properties of Kernel Principal Component Analysis**
*Machine Learning*, 66(2-3):259-294, March 2006 (article)

**Network-based de-noising improves prediction from microarray data**
*BMC Bioinformatics*, 7(Suppl. 1):S4-S4, March 2006 (article)

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

**Machine Learning Methods For Estimating Operator Equations**
In *Proceedings of the 14th IFAC Symposium on System Identification (SYSID 2006)*, pages: 6, (Editors: B Ninness and H Hjalmarsson), Elsevier, Oxford, United Kingdom, 14th IFAC Symposium on System Identification (SYSID), March 2006 (inproceedings)

**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)

**Implicit Volterra and Wiener Series for Higher-Order Image Analysis**
In *Advances in Data Analysis: Proceedings of the 30th Annual Conference of The Gesellschaft für Klassifikation*, 30, pages: 1, March 2006 (inproceedings)

**Model-based Design Analysis and Yield Optimization**
*IEEE Transactions on Semiconductor Manufacturing*, 19(4):475-486, February 2006 (article)

**Weighting of experimental evidence in macromolecular structure determination**
*Proceedings of the National Academy of Sciences of the United States of America*, 103(6):1756-1761, February 2006 (article)

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

**Classification of Faces in Man and Machine**
*Neural Computation*, 18(1):143-165, January 2006 (article)

**Causal Inference by Choosing Graphs with Most Plausible Markov Kernels**
In *Proceedings of the 9th International Symposium on Artificial Intelligence and Mathematics*, pages: 1-11, ISAIM, January 2006 (inproceedings)

**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)

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

**The pedestal effect is caused by off-frequency looking, not nonlinear transduction or contrast gain-control**
*Experimentelle Psychologie: Beitr{\"a}ge zur 48. Tagung experimentell arbeitender Psychologen*, 48, pages: 205, 2006 (poster)

**Learning operational space control**
In *Robotics: Science and Systems II (RSS 2006)*, pages: 255-262, (Editors: Gaurav S. Sukhatme and Stefan Schaal and Wolfram Burgard and Dieter Fox), Cambridge, MA: MIT Press, RSS , 2006, clmc (inproceedings)

**Reinforcement Learning for Parameterized Motor Primitives**
In *Proceedings of the 2006 International Joint Conference on Neural Networks*, pages: 73-80, IJCNN, 2006, clmc (inproceedings)

**Kernel ICA for Large Scale Problems**
In pages: -, NIPS Workshop on Large Scale Kernel Machines, December 2005 (inproceedings)

**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)

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)

**Kernel methods for dependence testing in LFP-MUA**
35(689.17), 35th Annual Meeting of the Society for Neuroscience (Neuroscience), November 2005 (poster)

**Training Support Vector Machines with Multiple Equality Constraints **
In *Proceedings of the 16th European Conference on Machine Learning, Lecture Notes in Computer Science, Vol. 3720*, pages: 182-193, (Editors: JG Carbonell and J Siekmann), Springer, Berlin, Germany, ECML, November 2005 (inproceedings)

**Measuring Statistical Dependence with Hilbert-Schmidt Norms**
In *Algorithmic Learning Theory, Lecture Notes in Computer Science, Vol. 3734*, pages: 63-78, (Editors: S Jain and H-U Simon and E Tomita), Springer, Berlin, Germany, 16th International Conference ALT, October 2005 (inproceedings)

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

**An Analysis of the Anti-Learning Phenomenon for the Class Symmetric Polyhedron**
In *Algorithmic Learning Theory: 16th International Conference*, pages: 78-92, Algorithmic Learning Theory, October 2005 (inproceedings)

**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)

**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)

**Rapid animal detection in natural scenes: Critical features are local**
*Journal of Vision*, 5(8):376, Fifth Annual Meeting of the Vision Sciences Society (VSS), September 2005 (poster)

**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)

**Learning an Interest Operator from Eye Movements**
*International Workshop on Bioinspired Information Processing (BIP 2005)*, 2005, pages: 1, September 2005 (poster)

**Classification of natural scenes using global image statistics**
*Journal of Vision*, 5(8):602, Fifth Annual Meeting of the Vision Sciences Society (VSS), September 2005 (poster)

**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**
In *Proceedings of the 22nd International Conference on Machine Learning*, pages: 996-1003, (Editors: L De Raedt and S Wrobel ), ACM, New York, NY, USA, ICML , August 2005 (inproceedings)

**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**
In *Proceedings of the 22nd International Conference on Machine Learning*, pages: 1041 -1048, (Editors: L De Raedt and S Wrobel), ACM, New York, NY, USA, ICML, August 2005 (inproceedings)

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

**Regularization on Discrete Spaces**
In *Pattern Recognition, Lecture Notes in Computer Science, Vol. 3663*, pages: 361-368, (Editors: WG Kropatsch and R Sablatnig and A Hanbury), Springer, Berlin, Germany, 27th DAGM Symposium, August 2005 (inproceedings)

**Large Margin Non-Linear Embedding**
In *ICML 2005*, pages: 1065-1072, (Editors: De Raedt, L. , S. Wrobel), ACM Press, New York, NY, USA, 22nd International Conference on Machine Learning, August 2005 (inproceedings)