87 results
(View BibTeX file of all listed publications)

**Hilbert Space Embeddings and Metrics on Probability Measures**
*Journal of Machine Learning Research*, 11, pages: 1517-1561, April 2010 (article)

**Graph Kernels**
*Journal of Machine Learning Research*, 11, pages: 1201-1242, April 2010 (article)

**Gene function prediction from synthetic lethality networks via ranking on demand**
*Bioinformatics*, 26(7):912-918, April 2010 (article)

**Machine-Learning Methods for Decoding Intentional Brain States**
Symposium "Non-Invasive Brain Computer Interfaces: Current Developments and Applications" (BIOMAG), March 2010 (talk)

**A toolbox for predicting G-quadruplex formation and stability**
*Journal of Nucleic Acids*, 2010(564946):1-6, March 2010 (article)

**PAC-Bayesian Analysis in Unsupervised Learning**
Foundations and New Trends of PAC Bayesian Learning Workshop, March 2010 (talk)

**A Novel Protocol for Accuracy Assessment in Classification of Very High Resolution Images**
*IEEE Transactions on Geoscience and Remote Sensing*, 48(3):1232-1244, March 2010 (article)

**On the Entropy Production of Time Series with Unidirectional Linearity**
*Journal of Statistical Physics*, 138(4-5):767-779, March 2010 (article)

**Derivatives of Logarithmic Stationary Distributions for Policy Gradient Reinforcement Learning**
*Neural Computation*, 22(2):342-376, February 2010 (article)

**Bayesian Online Multitask Learning of Gaussian Processes**
*IEEE Transactions on Pattern Analysis and Machine Intelligence*, 32(2):193-205, February 2010 (article)

**Learning Motor Primitives for Robotics**
EVENT Lab: Reinforcement Learning in Robotics and Virtual Reality, January 2010 (talk)

**The semigroup approach to transport processes in networks**
*Physica D: Nonlinear Phenomena*, 239(15):1416-1421, January 2010 (article)

**Optimization of k-Space Trajectories for Compressed Sensing by Bayesian Experimental Design**
*Magnetic Resonance in Medicine*, 63(1):116-126, January 2010 (article)

**Consistent Nonparametric Tests of Independence**
*Journal of Machine Learning Research*, 11, pages: 1391-1423, 2010 (article)

**Inferring latent task structure for Multitask Learning by Multiple Kernel Learning**
*BMC Bioinformatics*, 11 Suppl 8, pages: S5, 2010 (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)

**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)