173 results
(View BibTeX file of all listed publications)

**Prenatal development of ocular dominance and orientation maps in a self-organizing model of V1**
*Neurocomputing*, 69(10-12):1291-1296, 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)

**Large-scale prediction of disulphide bridges using kernel methods, two-dimensional recursive neural networks, and weighted graph matching**
*Proteins*, 62(3):617-629, February 2006 (article)

**Subspace identification through blind source separation**
*IEEE Signal Processing Letters*, 13(2):100-103, February 2006 (article)

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

**Dimension Reduction as a Deflation Method in ICA**
*IEEE Signal Processing Letters*, 13(1):45-48, 2006 (article)

**Machine Learning Challenges: evaluating predictive uncertainty, visual object classification and recognising textual entailment**
*Proceedings of the First Pascal Machine Learning Challenges Workshop on Machine Learning Challenges, Evaluating Predictive Uncertainty, Visual Object Classification and Recognizing Textual Entailment (MLCW 2005)*, pages: 462, Lecture Notes in Computer Science, Springer, Heidelberg, Germany, First Pascal Machine Learning Challenges Workshop (MLCW), 2006 (proceedings)

**Symbol Recognition with Kernel Density Matching**
*IEEE Transactions on Pattern Analysis and Machine Intelligence*, 28(12):2020-2024, 2006 (article)

**An adaptive method for subband decomposition ICA**
*Neural Computation*, 18(1):191-223, 2006 (article)

**Learning Control and Planning from the View of Control Theory and Imitation**
NIPS Workshop "Planning for the Real World: The promises and challenges of dealing with uncertainty", December 2003 (talk)

**Molecular phenotyping of human chondrocyte cell lines T/C-28a2, T/C-28a4, and C-28/I2**
*Arthritis & Rheumatism*, 48(12):3395-3403, December 2003 (article)

**A Study on Rainfall - Runoff Models for Improving Ensemble Streamflow Prediction: 1. Rainfallrunoff
Models Using Artificial Neural Networks**
*Journal of the Korean Society of Civil Engineers*, 23(6B):521-530, December 2003 (article)

**Quantitative Cerebral Blood Flow Measurements in the Rat Using a Beta-Probe and H215O**
*Journal of Cerebral Blood Flow and Metabolism*, 23(12):1455-1460, December 2003 (article)

**Recurrent neural networks from learning attractor dynamics**
NIPS Workshop on RNNaissance: Recurrent Neural Networks, December 2003 (talk)

**Blind separation of post-nonlinear mixtures using linearizing transformations and temporal decorrelation**
*Journal of Machine Learning Research*, 4(7-8):1319-1338, November 2003 (article)

**Correlated stage- and subfield-associated hippocampal gene expression patterns in experimental and human temporal lobe epilepsy**
*European Journal of Neuroscience*, 18(10):2792-2802, November 2003 (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)

**Learning Theory and Kernel Machines: 16th Annual Conference on Learning Theory and 7th Kernel Workshop (COLT/Kernel 2003), LNCS Vol. 2777**
*Proceedings of the 16th Annual Conference on Learning Theory and 7th Kernel Workshop (COLT/Kernel 2003)*, *COLT/Kernel 2003*, pages: 746, Springer, Berlin, Germany, 16th Annual Conference on Learning Theory and 7th Kernel Workshop, November 2003, Lecture Notes in Computer Science ; 2777 (proceedings)

**YKL-39 (chitinase 3-like protein 2), but not YKL-40 (chitinase 3-like protein 1), is up regulated in osteoarthritic chondrocytes**
*Annals of the Rheumatic Diseases*, 62(10):995-998, October 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)

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

**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)

**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)

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

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

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

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

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

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

Bousquet, O.
**Transductive Learning: Motivation, Models, Algorithms**
January 2002 (talk)

**Model Selection for Small Sample Regression**
*Machine Learning*, 48(1-3):9-23, 2002 (article)