104 results
(View BibTeX file of all listed publications)

**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)

ei
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)

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

**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)

**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)

**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**
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)

**Learning the Kernel with Hyperkernels**
*Journal of Machine Learning Research*, 6, pages: 1043-1071, July 2005 (article)

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

**Image Reconstruction by Linear Programming**
*IEEE Transactions on Image Processing*, 14(6):737-744, June 2005 (article)

**RASE: recognition of alternatively spliced exons in C.elegans**
*Bioinformatics*, 21(Suppl. 1):i369-i377, June 2005 (article)

**Matrix Exponentiated Gradient Updates for On-line Learning and Bregman Projection**
*Journal of Machine Learning Research*, 6, pages: 995-1018, June 2005 (article)

**Texture and haptic cues in slant discrimination: Reliability-based cue weighting without statistically optimal cue combination**
*Journal of the Optical Society of America A*, 22(5):801-809, May 2005 (article)

**Bayesian inference for psychometric functions**
*Journal of Vision*, 5(5):478-492, May 2005 (article)

**A gene expression map of Arabidopsis thaliana development**
*Nature Genetics*, 37(5):501-506, April 2005 (article)

**Experimentally optimal v in support vector regression for different noise models and parameter settings**
*Neural Networks*, 18(2):205-205, March 2005 (article)

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

**Composite adaptive control with locally weighted statistical learning**
*Neural Networks*, 18(1):71-90, January 2005, clmc (article)

**Invariance of Neighborhood Relation under Input Space to Feature Space Mapping**
*Pattern Recognition Letters*, 26(6):707-718, 2005 (article)

**Theory of Classification: A Survey of Some Recent Advances**
*ESAIM: Probability and Statistics*, 9, pages: 323 , 2005 (article)

**Support Vector Machines and Kernel Algorithms**
In *Encyclopedia of Biostatistics (2nd edition), Vol. 8*, 8, pages: 5328-5335, (Editors: P Armitage and T Colton), John Wiley & Sons, NY USA, 2005 (inbook)

**Moment Inequalities for Functions of Independent Random Variables**
*To appear in Annals of Probability*, 33, pages: 514-560, 2005 (article)

**Visual perception
I: Basic principles**
In *Handbook of Cognition*, pages: 3-47, (Editors: Lamberts, K. , R. Goldstone), Sage, London, 2005 (inbook)

**A tutorial on v-support vector machines**
*Applied Stochastic Models in Business and Industry*, 21(2):111-136, 2005 (article)

**Robust EEG Channel Selection Across Subjects for Brain Computer Interfaces**
*EURASIP Journal on Applied Signal Processing*, 2005(19, Special Issue: Trends in Brain Computer Interfaces):3103-3112, (Editors: Vesin, J. M., T. Ebrahimi), 2005 (article)

**Nonlinear optical spectroscopy of chiral molecules**
*CHIRALITY*, 17(8):421-437, 2005 (article)

**Negative refraction at optical frequencies in nonmagnetic two-component molecular media**
*PHYSICAL REVIEW LETTERS*, 95(6), 2005 (article)

**A model of smooth pursuit based on learning of the target dynamics using only retinal signals**
*Neural Networks*, 18, pages: 213-225, 2005, clmc (article)

**Parametric and Non-Parametric approaches for nonlinear tracking of moving objects**
*Technical Report-2005-1*, 2005, clmc (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)

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

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

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

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

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

**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)

**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)

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