152 results
(View BibTeX file of all listed publications)

**Large-Scale Gene Expression Profiling Reveals Major Pathogenetic Pathways of Cartilage Degeneration in Osteoarthritis**
*Arthritis and Rheumatism*, 54(11):3533-3544, October 2006 (article)

**Semi-Supervised Support Vector Machines and Application to Spam Filtering**
ECML Discovery Challenge Workshop, September 2006 (talk)

**Implicit Surface Modelling with a Globally Regularised Basis of Compact Support**
*Computer Graphics Forum*, 25(3):635-644, September 2006 (article)

**Inferential Structure Determination: Probabilistic determination and validation of NMR structures**
Gordon Research Conference on Computational Aspects of Biomolecular
NMR, September 2006 (talk)

**An Online Support Vector Machine for Abnormal Events Detection**
*Signal Processing*, 86(8):2009-2025, August 2006 (article)

**Machine Learning Algorithms for Polymorphism Detection**
2nd ISCB Student Council Symposium, August 2006 (talk)

**Integrating Structured Biological data by Kernel Maximum Mean Discrepancy**
*Bioinformatics*, 22(4: ISMB 2006 Conference Proceedings):e49-e57, August 2006 (article)

**Comment on “Support vector machines with applications” by J. M. Moguerza and A. Muñoz
**
*Statistical Science*, 21(3):337-340, August 2006 (article)

**Large Scale Transductive SVMs**
*Journal of Machine Learning Research*, 7, pages: 1687-1712, August 2006 (article)

**Building Support Vector Machines with Reduced Classifier Complexity**
*Journal of Machine Learning Research*, 7, pages: 1493-1515, July 2006 (article)

**Inferential structure determination: Overview and new developments**
Sixth CCPN Annual Conference: Efficient and Rapid Structure Determination by NMR, July 2006 (talk)

**ARTS: Accurate Recognition of Transcription Starts in Human**
*Bioinformatics*, 22(14):e472-e480, July 2006 (article)

**MR/PET Attenuation Correction**
Max-Planck-Gesellschaft, Biologische Kybernetik, July 2006 (patent)

**Large Scale Multiple Kernel Learning**
*Journal of Machine Learning Research*, 7, pages: 1531-1565, July 2006 (article)

**Factorial coding of natural images: how effective are linear models in removing higher-order dependencies?**
*Journal of the Optical Society of America A*, 23(6):1253-1268, June 2006 (article)

**MCMC inference in (Conditionally) Conjugate Dirichlet Process Gaussian Mixture Models**
ICML Workshop on Learning with Nonparametric Bayesian Methods, June 2006 (talk)

**Sampling for non-conjugate infinite latent feature models**
(Editors: Bernardo, J. M.), 8th Valencia International Meeting on Bayesian Statistics (ISBA), June 2006 (talk)

**Classifying EEG and ECoG Signals without Subject Training for Fast BCI Implementation: Comparison of Non-Paralysed and Completely Paralysed Subjects**
*IEEE Transactions on Neural Systems and Rehabilitation Engineering*, 14(2):183-186, June 2006 (article)

**SCARNA: Fast and Accurate Structural Alignment of RNA Sequences by Matching Fixed-Length Stem Fragments**
*Bioinformatics*, 22(14):1723-1729, May 2006 (article)

**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)

**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)

**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)

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

**Concentration Inequalities for Sub-Additive Functions Using the Entropy Method**
*Stochastic Inequalities and Applications*, 56, pages: 213-247, Progress in Probability, (Editors: Giné, E., C. Houdré and D. Nualart), November 2003 (article)

Bousquet, O.
**Statistical Learning Theory**
Machine Learning Summer School, August 2003 (talk)

**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)

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

**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)

**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)

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)

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

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

**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)

**The contributions of color to recognition memory for natural scenes**
*Journal of Experimental Psychology: Learning, Memory and Cognition*, 28(3):509-520, May 2002 (article)

**Training invariant support vector machines**
*Machine Learning*, 46(1-3):161-190, January 2002 (article)

**Contrast discrimination with sinusoidal gratings of different spatial frequency**
*Journal of the Optical Society of America A*, 19(7), pages: 1267-1273, 2002 (article)

**Support Vector Machines and Kernel Methods: The New Generation of Learning Machines**
*AI Magazine*, 23(3):31-41, 2002 (article)

**Contrast discrimination with pulse-trains in pink noise**
*Journal of the Optical Society of America A*, 19(7), pages: 1259-1266, 2002 (article)