292 results
(View BibTeX file of all listed publications)

**Remarks on Statistical Learning Theory**
Machine Learning Summer School, August 2003 (talk)

**Statistical Learning Theory, Capacity and Complexity**
*Complexity*, 8(4):87-94, July 2003 (article)

**Ranking on Data Manifolds**
(113), Max Planck Institute for Biological Cybernetics, 72076 Tuebingen, Germany, June 2003 (techreport)

**Kernel Hebbian Algorithm for Iterative Kernel Principal Component Analysis**
(109), MPI f. biologische Kybernetik, Tuebingen, June 2003 (techreport)

**Learning with Local and Global Consistency**
(112), Max Planck Institute for Biological Cybernetics, Tuebingen, Germany, June 2003 (techreport)

**Dealing with large Diagonals in Kernel Matrices**
*Annals of the Institute of Statistical Mathematics*, 55(2):391-408, June 2003 (article)

**The Metric Nearness Problem with Applications**
Univ. of Texas at Austin, June 2003 (techreport)

**Implicit Wiener Series**
(114), Max Planck Institute for Biological Cybernetics, June 2003 (techreport)

**Machine Learning approaches to protein ranking: discriminative, semi-supervised, scalable algorithms**
(111), Max Planck Institute for Biological Cybernetics, Tübingen, Germany, June 2003 (techreport)

**The em Algorithm for Kernel Matrix Completion with Auxiliary Data**
*Journal of Machine Learning Research*, 4, pages: 67-81, May 2003 (article)

**Constructing Descriptive and Discriminative Non-linear Features: Rayleigh Coefficients in Kernel Feature Spaces**
*IEEE Transactions on Pattern Analysis and Machine Intelligence*, 25(5):623-628, May 2003 (article)

**The Geometry Of Kernel Canonical Correlation Analysis**
(108), Max Planck Institute for Biological Cybernetics, Tübingen, Germany, May 2003 (techreport)

**Kernel-based nonlinear blind source separation**
*Neural Computation*, 15(5):1089-1124, May 2003 (article)

**The Kernel Mutual Information**
Max Planck Institute for Biological Cybernetics, April 2003 (techreport)

**Tractable Inference for Probabilistic Data Models**
*Complexity*, 8(4):64-68, April 2003 (article)

**Feature selection and transduction for prediction of molecular bioactivity for drug design**
*Bioinformatics*, 19(6):764-771, April 2003 (article)

**Rademacher and Gaussian averages in Learning Theory**
Universite de Marne-la-Vallee, March 2003 (talk)

ei
Bousquet, O., Schölkopf, B.
**Statistical Learning Theory**
March 2003 (talk)

**Use of the Zero-Norm with Linear Models and Kernel Methods**
*Journal of Machine Learning Research*, 3, pages: 1439-1461, March 2003 (article)

**Concentration Inequalities and Data-Dependent Error Bounds**
Uni. Jena, February 2003 (talk)

**Introduction: Robots with Cognition?**
6, pages: 38, (Editors: H.H. Bülthoff, K.R. Gegenfurtner, H.A. Mallot, R. Ulrich, F.A. Wichmann), 6. T{\"u}binger Wahrnehmungskonferenz (TWK), February 2003 (talk)

**Expectation Maximization for Clustering on Hyperspheres**
Univ. of Texas at Austin, February 2003 (techreport)

**Modeling Data using Directional Distributions**
Univ. of Texas at Austin, January 2003 (techreport)

**An Introduction to Variable and Feature Selection.**
*Journal of Machine Learning*, 3, pages: 1157-1182, 2003 (article)

**A Note on Parameter Tuning for On-Line Shifting Algorithms**
Max Planck Institute for Biological Cybernetics, Tübingen, Germany, 2003 (techreport)

**Dynamics of a rigid body in a Stokes fluid**
*Journal of Fluid Mechanics*, 2003 (article) Accepted

**A novel transient heater-foil technique for liquid crystal experiments on film cooled surfaces**
*ASME Journal of Turbomachinery*, 125, pages: 529-537, 2003 (article)

**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)

ei
Schölkopf, B.
**Kernel methods and dimensionality reduction**
2003 (talk)

**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)

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

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

**Lernen mit Kernen: Support-Vektor-Methoden zur Analyse hochdimensionaler Daten**
*Informatik - Forschung und Entwicklung*, 14(3):154-163, September 1999 (article)

**Input space versus feature space in kernel-based methods **
*IEEE Transactions On Neural Networks*, 10(5):1000-1017, September 1999 (article)

**p73 and p63 are homotetramers capable of weak heterotypic interactions with each other but not with p53.**
*Journal of Biological Chemistry*, 274(26):18709-18714, June 1999 (article)

**Estimating the support of a high-dimensional distribution**
(MSR-TR-99-87), Microsoft Research, 1999 (techreport)

**Spatial Learning and Localization in Animals: A Computational Model and Its Implications for Mobile Robots**
*Adaptive Behavior*, 7(2):173-216, 1999 (article)

**SVMs for Histogram Based Image Classification**
*IEEE Transactions on Neural Networks*, (9), 1999 (article)

**Generalization Bounds via Eigenvalues of the Gram matrix**
(99-035), NeuroCOLT, 1999 (techreport)

**Sparse kernel feature analysis**
(99-04), Data Mining Institute, 1999, 24th Annual Conference of Gesellschaft f{\"u}r Klassifikation, University of Passau (techreport)