176 results
(View BibTeX file of all listed publications)

**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)

**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)

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

**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)

**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)

ei
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)

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)

**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)