379 results
(View BibTeX file of all listed publications)

**Support Vector Machines**
In *Handbook of Brain Theory and Neural Networks (2nd edition)*, pages: 1119-1125, (Editors: MA Arbib), MIT Press, Cambridge, MA, USA, 2003 (inbook)

**Prediction at an Uncertain Input for Gaussian Processes and Relevance Vector Machines - Application to Multiple-Step Ahead Time-Series Forecasting**
(IMM-2003-18), Max Planck Institute for Biological Cybernetics, Tübingen, Germany, 2003 (techreport)

**Large margin Methods in Label Sequence Learning**
Brown University, Providence, RI, USA, 2003 (mastersthesis)

**Kernel Methods and Their Applications to Signal Processing**
In *Proceedings. (ICASSP ‘03)*, Special Session on Kernel Methods, pages: 860 , ICASSP, 2003 (inproceedings)

**Predictive control with Gaussian process models**
In *Proceedings of IEEE Region 8 Eurocon 2003: Computer as a Tool*, pages: 352-356, (Editors: Zajc, B. and M. Tkal), Proceedings of IEEE Region 8 Eurocon: Computer as a Tool, 2003 (inproceedings)

**Extension of the nu-SVM range for classification**
In *Advances in Learning Theory: Methods, Models and Applications, NATO Science Series III: Computer and Systems Sciences, Vol. 190*, 190, pages: 179-196, NATO Science Series III: Computer and Systems Sciences, (Editors: J Suykens and G Horvath and S Basu and C Micchelli and J Vandewalle), IOS Press, Amsterdam, 2003 (inbook)

**m-Alternative Forced Choice—Improving the Efficiency of the
Method of Constant Stimuli**
Biologische Kybernetik, Graduate School for Neural and
Behavioural Sciences, Tübingen, 2003 (diplomathesis)

**Microarrays: How Many Do You Need?**
*Journal of Computational Biology*, 10(3-4):653-667, 2003 (article)

**New Approaches to Statistical Learning Theory**
*Annals of the Institute of Statistical Mathematics*, 55(2):371-389, 2003 (article)

**Distance-based classification with Lipschitz functions**
In *Learning Theory and Kernel Machines, Proceedings of the 16th Annual Conference on Computational Learning Theory*, pages: 314-328, (Editors: Schölkopf, B. and M.K. Warmuth), Learning Theory and Kernel Machines, Proceedings of the 16th Annual Conference on Computational Learning Theory, 2003 (inproceedings)

**An Introduction to Support Vector Machines**
In *Recent Advances and Trends in Nonparametric Statistics
*, pages: 3-17, (Editors: MG Akritas and DN Politis), Elsevier, Amsterdam, The Netherlands, 2003 (inbook)

**Statistical Learning and Kernel Methods in Bioinformatics**
In *Artificial Intelligence and Heuristic Methods in Bioinformatics*, 183, pages: 1-21, 3, (Editors: P Frasconi und R Shamir), IOS Press, Amsterdam, The Netherlands, 2003 (inbook)

**Interactive Images**
(MSR-TR-2003-64), Microsoft Research, Cambridge, UK, 2003 (techreport)

**The importance of phase information for recognizing natural images**
2003 (poster)

**Semi-Supervised Learning through Principal Directions Estimation**
In *ICML Workshop, The Continuum from Labeled to Unlabeled Data in Machine Learning & Data Mining*, pages: 7, ICML Workshop: The Continuum from Labeled to Unlabeled Data in Machine Learning & Data Mining, 2003 (inproceedings)

**Statistical Learning and Kernel Methods**
In *Adaptivity and Learning—An Interdisciplinary Debate*, pages: 161-186, (Editors: R.Kühn and R Menzel and W Menzel and U Ratsch and MM Richter and I-O Stamatescu), Springer, Berlin, Heidelberg, Germany, 2003 (inbook)

**A Short Introduction to Learning with Kernels**
In *Proceedings of the Machine Learning Summer School, Lecture Notes in Artificial Intelligence, Vol. 2600*, pages: 41-64, LNAI 2600, (Editors: S Mendelson and AJ Smola), Springer, Berlin, Heidelberg, Germany, 2003 (inbook)

**Bayesian Kernel Methods**
In *Advanced Lectures on Machine Learning, Machine Learning Summer School 2002, Lecture Notes in Computer Science, Vol. 2600*, LNAI 2600, pages: 65-117, 0, (Editors: S Mendelson and AJ Smola), Springer, Berlin, Germany, 2003 (inbook)

**Gene expression in chondrocytes assessed with use of microarrays**
*Journal of Bone and Joint Surgery*, 85(Suppl 2):117-123, 2003 (article)

Ong, CS., Smola, AJ.
**Machine Learning with Hyperkernels**
In pages: 568-575, 2003 (inproceedings)

**Gaussian Processes to Speed up Hybrid Monte Carlo for Expensive Bayesian Integrals**
In *Bayesian Statistics 7*, pages: 651-659, (Editors: J. M. Bernardo, M. J. Bayarri, J. O. Berger, A. P. Dawid, D. Heckerman, A. F. M. Smith and M. West), Bayesian Statistics 7, 2003 (inproceedings)

**Dimension Reduction Based on Orthogonality — a Decorrelation Method in ICA**
In *Artificial Neural Networks and Neural Information Processing - ICANN/ICONIP 2003*, pages: 132-139, (Editors: O Kaynak and E Alpaydin and E Oja and L Xu), Springer, Berlin, Germany, International Conference on Artificial Neural Networks and International Conference on Neural Information Processing, ICANN/ICONIP, 2003, Lecture Notes in Computer Science, Volume 2714 (inproceedings)

**Stability of ensembles of kernel machines**
In 190, pages: 111-124, NATO Science Series III: Computer and Systems Science, (Editors: Suykens, J., G. Horvath, S. Basu, C. Micchelli and J. Vandewalle), IOS press, Netherlands, 2003 (inbook)

**Real-Time Statistical Learning for Oculomotor Control and Visuomotor Coordination**
(Editors: Becker, S. , S. Thrun, K. Obermayer), Sixteenth Annual Conference on Neural Information Processing Systems (NIPS), December 2002 (poster)

**Optimized Support Vector Machines for Nonstationary Signal Classification**
*IEEE Signal Processing Letters*, 9(12):442-445, December 2002 (article)

**Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond**
pages: 644, Adaptive Computation and Machine Learning, MIT Press, Cambridge, MA, USA, December 2002, Parts of this book, including an introduction to kernel methods, can be downloaded here. (book)

**Surface-slant-from-texture discrimination: Effects of slant level and texture type**
*Journal of Vision*, 2(7):300, Second Annual Meeting of the Vision Sciences Society (VSS), November 2002 (poster)

**Modelling Contrast Transfer in Spatial Vision **
*Journal of Vision*, 2(10):7, Second Annual Meeting of the Vision Sciences Society (VSS), November 2002 (poster)

**Gender Classification of Human Faces**
In *Biologically Motivated Computer Vision*, pages: 1-18, (Editors: Bülthoff, H. H., S.W. Lee, T. A. Poggio and C. Wallraven), Springer, Berlin, Germany, Second International Workshop on Biologically Motivated Computer Vision (BMCV), November 2002 (inproceedings)

**Insect-Inspired Estimation of Self-Motion**
In *Biologically Motivated Computer Vision*, (2525):171-180, LNCS, (Editors: Bülthoff, H.H. , S.W. Lee, T.A. Poggio, C. Wallraven), Springer, Berlin, Germany, Second International Workshop on Biologically Motivated Computer Vision (BMCV), November 2002 (inproceedings)

**Pulse train detection and discrimination in pink noise **
*Journal of Vision*, 2(7):229, Second Annual Meeting of the Vision Sciences Society (VSS), November 2002 (poster)

**A New Discriminative Kernel from Probabilistic Models**
*Neural Computation*, 14(10):2397-2414, October 2002 (article)

**Combining sensory Information to Improve Visualization**
In *Proceedings of the Conference on Visualization ‘02 (VIS ‘02)*, pages: 571-574, (Editors: Moorhead, R. , M. Joy), IEEE, Piscataway, NJ, USA, IEEE Conference on Visualization (VIS '02), October 2002 (inproceedings)

**Sampling Techniques for Kernel Methods **
In *Advances in neural information processing systems 14 *, pages: 335-342, (Editors: TG Dietterich and S Becker and Z Ghahramani), MIT Press, Cambridge, MA, USA, 15th Annual Neural Information Processing Systems Conference (NIPS), September 2002 (inproceedings)

**The Infinite Hidden Markov Model**
In *Advances in Neural Information Processing Systems 14*, pages: 577-584, (Editors: Dietterich, T.G. , S. Becker, Z. Ghahramani), MIT Press, Cambridge, MA, USA, Fifteenth Annual Neural Information Processing Systems Conference (NIPS), September 2002 (inproceedings)

**A new discriminative kernel from probabilistic models**
In *Advances in Neural Information Processing Systems 14*, pages: 977-984, (Editors: Dietterich, T.G. , S. Becker, Z. Ghahramani), MIT Press, Cambridge, MA, USA, Fifteenth Annual Neural Information Processing Systems Conference (NIPS), September 2002 (inproceedings)

**Incorporating Invariances in Non-Linear Support Vector Machines **
In *Advances in Neural Information Processing Systems 14*, pages: 609-616, (Editors: TG Dietterich and S Becker and Z Ghahramani), MIT Press, Cambridge, MA, USA, 15th Annual Neural Information Processing Systems Conference (NIPS), September 2002 (inproceedings)

**Functional Genomics of Osteoarthritis**
*Pharmacogenomics*, 3(5):635-650, September 2002 (article)

**Kernel feature spaces and nonlinear blind source separation**
In *Advances in Neural Information Processing Systems 14*, pages: 761-768, (Editors: Dietterich, T. G., S. Becker, Z. Ghahramani), MIT Press, Cambridge, MA, USA, Fifteenth Annual Neural Information Processing Systems Conference (NIPS), September 2002 (inproceedings)

**Constructing Boosting algorithms from SVMs: an application to one-class classification.**
*IEEE Transactions on Pattern Analysis and Machine Intelligence*, 24(9):1184-1199, September 2002 (article)

**Kernel Dependency Estimation**
(98), Max Planck Institute for Biological Cybernetics, August 2002 (techreport)

**Phase information in the recognition of natural images**
*Perception*, 31(ECVP Abstract Supplement):133, 25th European Conference on Visual Perception, August 2002 (poster)

**Algorithms for Learning Function Distinguishable Regular Languages**
In *Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition*, pages: 64-73, (Editors: Caelli, T. , A. Amin, R. P.W. Duin, M. Kamel, D. de Ridder), Springer, Berlin, Germany, Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition, August 2002 (inproceedings)

**Co-Clustering of Biological Networks and Gene Expression Data**
*Bioinformatics*, (Suppl 1):145S-154S, 18, July 2002 (article)

**Global Geometry of SVM Classifiers**
Max Planck Institute for Biological Cybernetics, Tübingen, Germany, June 2002 (techreport)

**Computationally Efficient Face Detection**
(MSR-TR-2002-69), Microsoft Research, June 2002 (techreport)

**Confidence measures for protein fold recognition**
*Bioinformatics*, 18(6):802-812, June 2002 (article)

**Decision Boundary Pattern Selection for Support Vector Machines**
In *Proc. of the Korean Data Mining Conference*, pages: 33-41, Korean Data Mining Conference, May 2002 (inproceedings)