68 results
(BibTeX)

**Prototype Classification: Insights from Machine Learning** *Neural Computation*, 21(1):272-300
(Article)

**Consistency of Spectral Clustering** *Annals of Statistics*, 36(2):555-586
(Article)

**Joint Kernel Maps** In: *Predicting Structured Data*, 67-84, MIT Press, Cambridge, MA, USA
(Book Chapter)

**Evaluating Predictive Uncertainty Challenge** In: *Machine Learning Challenges: Evaluating Predictive Uncertainty, Visual Object Classification, and Recognising Tectual Entailment*, *Machine Learning Challenges: First PASCAL Machine Learning Challenges Workshop (MLCW 2005)*, 1-27, Springer, Berlin, Germany, First PASCAL Machine Learning Challenges Workshop (MLCW 2005)
(In Proceedings)

**Statistical Properties of Kernel Principal Component Analysis** *Machine Learning*, 66(2-3):259-294
(Article)

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

**Local Rademacher Complexities** *The Annals of Statistics*, 33(4):1497-1537
(Article)

**Kernel Methods for Measuring Independence** *Journal of Machine Learning Research*, 6, 2075-2129
(Article)

**Joint Kernel Maps** In: *Proceedings of the 8th InternationalWork-Conference on Artificial Neural Networks*, *Proceedings of the 8th International Work-Conference on Artificial Neural Networks (Computational Intelligence and Bioinspired System)*, LNCS 3512, 176-191, Springer-Verlag, Berlin Heidelberg, Germany, IWANN 2005
(In Proceedings)

**Theory of Classification: A Survey of Some Recent Advances** *ESAIM: Probability and Statistics*, 9, 323
(Article)

**Maximal Margin Classification for Metric Spaces** *Journal of Computer and System Sciences*, 71(3):333-359
(Article)

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

**Measuring Statistical Dependence with Hilbert-Schmidt Norms** (140), Max Planck Institute for Biological Cybernetics, Tübingen, Germany
(Technical Report)

**Measuring Statistical Dependence with Hilbert-Schmidt Norms** In: *Algorithmic Learning Theory, Lecture Notes in Computer Science, Vol. 3734*, *Algorithmic Learning Theory: 16th International Conference, ALT 2005*, 63-78, Springer, Berlin, Germany, 16th International Conference ALT 2005
(In Proceedings)

**Limits of Spectral Clustering** In: *Advances in Neural Information Processing Systems 17*, *Advances in Neural Information Processing Systems 17: Proceedings of the 2004 Conference*, 857-864, MIT Press, Cambridge, MA, USA, Eighteenth Annual Conference on Neural Information Processing Systems (NIPS 2004)
(In Proceedings)

**Kernel Constrained Covariance for Dependence Measurement** In: *Proceedings of the 10th International Workshop on Artificial Intelligence and Statistics*, *AISTATS 2005*, 112-119, MPI for Biological Cybernetics, Spemannstr 38 72076 Tuebingen, AISTATS 2005
(In Proceedings)

**Hilbertian Metrics and Positive Definite Kernels on Probability Measures** In: *AISTATS 2005*, *Proceedings of AISTATS 2005*, 136-143, Tenth International Workshop on Artificial Intelligence and Statistics (AI & Statistics 2005)
(In Proceedings)

**Kernel Constrained Covariance for Dependence Measurement** AISTATS 2005
(Talk)

**Statistical Performance of Support Vector Machines**(Article)

**PAC-Bayesian Generic Chaining** In: *Advances in Neural Information Processing Systems 16*, *Advances in Neural Information Processing Systems 16*, 1125-1132 , MIT Press, Cambridge, MA, USA, Seventeenth Annual Conference on Neural Information Processing Systems (NIPS 2003)
(In Proceedings)