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Emperical Interference

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Dynamic Locomotion

Embodied Vision

Human Aspects of Machine Learning

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Micro, Nano, and Molecular Systems

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Physics for Inference and Optimization

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Empirical Inference Conference Paper Semi-supervised Learning on Directed Graphs Zhou, D., Schölkopf, B., Hofmann, T. In Advances in Neural Information Processing Systems, Advances in Neural Information Processing Systems 17, :1633-1640, (Editors: LK Saul and Y Weiss and L Bottou), MIT Press, Cambridge, MA, USA, 18th Annual Conference on Neural Information Processing Systems (NIPS 2004), July 2005 () PDF Web BibTeX

Empirical Inference Conference Paper Splines with non positive kernels Canu, S., Ong, C., Mary, X. In More Progresses in Analysis: Proceedings of the 5th International ISAAC Congress, 5th International ISAAC Congress, :1-10, (Editors: Begehr, H. G.W., F. Nicolosi), World Scientific, Singapore, 5th International ISAAC Congress, July 2005 () PDF Web BibTeX

Empirical Inference Talk Machine-Learning Approaches to BCI in Tübingen Bensch, M., Bogdan, M., Hill, N., Lal, T., Rosenstiel, W., Schölkopf, B., Schröder, M. Brain-Computer Interface Technology, June 2005, Talk given by NJH. () BibTeX

Empirical Inference Article Image Reconstruction by Linear Programming Tsuda, K., Rätsch, G. IEEE Transactions on Image Processing, 14(6):737-744, June 2005 () PDF DOI BibTeX

Empirical Inference Article Matrix Exponentiated Gradient Updates for On-line Learning and Bregman Projection Tsuda, K., Rätsch, G., Warmuth, M. Journal of Machine Learning Research, 6:995-1018, June 2005 () PDF BibTeX

Empirical Inference Technical Report Measuring Statistical Dependence with Hilbert-Schmidt Norms Gretton, A., Bousquet, O., Smola, A., Schölkopf, B. (140), Max Planck Institute for Biological Cybernetics, Tübingen, Germany, June 2005 () PDF BibTeX

Empirical Inference Article RASE: recognition of alternatively spliced exons in C.elegans Rätsch, G., Sonnenburg, S., Schölkopf, B. Bioinformatics, 21(Suppl. 1):i369-i377, June 2005 () PDF Web DOI BibTeX

Empirical Inference Article Bayesian inference for psychometric functions Kuss, M., Jäkel, F., Wichmann, F. Journal of Vision, 5(5):478-492, May 2005 () PDF PDF DOI BibTeX

Empirical Inference Thesis Efficient Adaptive Sampling of the Psychometric Function by Maximizing Information Gain Tanner, T. Biologische Kybernetik, Eberhard-Karls University Tübingen, Tübingen, Germany, May 2005 () BibTeX

Empirical Inference Article Texture and haptic cues in slant discrimination: Reliability-based cue weighting without statistically optimal cue combination Rosas, P., Wagemans, J., Ernst, M., Wichmann, F. Journal of the Optical Society of America A, 22(5):801-809, May 2005 () PDF Web BibTeX

Empirical Inference Article A gene expression map of Arabidopsis thaliana development Schmid, M., Davison, T., Henz, S., Pape, U., Demar, M., Vingron, M., Schölkopf, B., Weigel, D., Lohmann, J. Nature Genetics, 37(5):501-506, April 2005 () PDF DOI BibTeX

Empirical Inference Poster Classification of natural scenes using global image statistics Drewes, J., Wichmann, F., Gegenfurtner, K. 47:88, 47. Tagung Experimentell Arbeitender Psychologen, April 2005 () BibTeX

Empirical Inference Article Experimentally optimal v in support vector regression for different noise models and parameter settings Chalimourda, A., Schölkopf, B., Smola, A. Neural Networks, 18(2):205-205, March 2005 () PDF DOI BibTeX

Empirical Inference Poster Bayesian Inference for Psychometric Functions Kuss, M., Jäkel, F., Wichmann, F. 8:106, (Editors: Bülthoff, H. H., H. A. Mallot, R. Ulrich and F. A. Wichmann), 8th T{\"u}bingen Perception Conference (TWK 2005), February 2005 () Web BibTeX

Empirical Inference Poster Classification of Natural Scenes using Global Image Statistics Drewes, J., Wichmann, F., Gegenfurtner, K. 8:88, 8th T{\"u}bingen Perception Conference (TWK 2005), February 2005 () Web BibTeX

Empirical Inference Poster Efficient Adaptive Sampling of the Psychometric Function by Maximizing Information Gain Tanner, T., Hill, N., Rasmussen, C., Wichmann, F. 8:109, (Editors: Bülthoff, H. H., H. A. Mallot, R. Ulrich and F. A. Wichmann), 8th T{\"u}bingen Perception Conference (TWK 2005), February 2005 () Web BibTeX

Empirical Inference Conference Paper Active Learning for Parzen Window Classifier Chapelle, O. In AI STATS, AISTATS 2005, :49-56, (Editors: Cowell, R. , Z. Ghahramani), Tenth International Workshop on Artificial Intelligence and Statistics (AI & Statistics 2005), January 2005 () Web BibTeX

Empirical Inference Conference Paper Hilbertian Metrics and Positive Definite Kernels on Probability Measures Hein, M., Bousquet, O. In Proceedings of AISTATS 2005, AISTATS 2005, :136-143, (Editors: Cowell, R. , Z. Ghahramani), Tenth International Workshop on Artificial Intelligence and Statistics (AI & Statistics 2005), January 2005 () PDF Web BibTeX

Empirical Inference Conference Paper Kernel Constrained Covariance for Dependence Measurement Gretton, A., Smola, A., Bousquet, O., Herbrich, R., Belitski, A., Augath, M., Murayama, Y., Pauls, J., Schölkopf, B., Logothetis, N. In AISTATS 2005, Proceedings of the 10th International Workshop on Artificial Intelligence and Statistics, :112-119, (Editors: R Cowell, R and Z Ghahramani), AISTATS, January 2005 () PDF Web BibTeX

Empirical Inference Talk Kernel Constrained Covariance for Dependence Measurement Gretton, A., Smola, A., Bousquet, O., Herbrich, R., Belitski, A., Augath, M., Murayama, Y., Schölkopf, B., Logothetis, N. AISTATS, January 2005 () PostScript BibTeX

Empirical Inference Conference Paper Semi-Supervised Classification by Low Density Separation Chapelle, O., Zien, A. In Proceedings of the Tenth International Workshop on Artificial Intelligence and Statistics (AISTATS 2005), AISTATS 2005, :57-64, (Editors: Cowell, R. , Z. Ghahramani), Tenth International Workshop on Artificial Intelligence and Statistics (AI & Statistics 2005), January 2005 () PDF Web BibTeX

Empirical Inference Conference Paper A Brain Computer Interface with Online Feedback based on Magnetoencephalography Lal, T., Schröder, M., Hill, J., Preissl, H., Hinterberger, T., Mellinger, J., Bogdan, M., Rosenstiel, W., Hofmann, T., Birbaumer, N., et al. In Proceedings of the 22nd International Conference on Machine Learning, :465-472, (Editors: L De Raedt and S Wrobel), ACM, New York, NY, USA, ICML, 2005 () PDF PDF BibTeX

Empirical Inference Article A tutorial on v-support vector machines Chen, P., Lin, C., Schölkopf, B. Applied Stochastic Models in Business and Industry, 21(2):111-136, 2005 () PDF BibTeX

Empirical Inference Conference Paper Analysis of Some Methods for Reduced Rank Gaussian Process Regression Quinonero Candela, J., Rasmussen, C. In Switching and Learning in Feedback Systems, :98-127, (Editors: Murray Smith, R. , R. Shorten), Springer, Berlin, Germany, European Summer School on Multi-Agent Control, 2005 () PDF PDF DOI BibTeX

Empirical Inference Technical Report Approximate Bayesian Inference for Psychometric Functions using MCMC Sampling Kuss, M., Jäkel, F., Wichmann, F. (135), Max Planck Institute for Biological Cybernetics, Tübingen, Germany, 2005 () PDF BibTeX

Empirical Inference Technical Report Approximate Inference for Robust Gaussian Process Regression Kuss, M., Pfingsten, T., Csato, L., Rasmussen, C. (136), Max Planck Institute for Biological Cybernetics, Tübingen, Germany, 2005 () PDF BibTeX

Autonomous Motion Empirical Inference Conference Paper Comparative experiments on task space control with redundancy resolution Nakanishi, J., Cory, R., Mistry, M., Peters, J., Schaal, S. In Proceedings of the 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems, :3901-3908, Edmonton, Alberta, Canada, Aug. 2-6, IROS, 2005, clmc () DOI URL BibTeX

Empirical Inference Conference Paper From Graphs to Manifolds - Weak and Strong Pointwise Consistency of Graph Laplacians Hein, M., Audibert, J., von Luxburg, U. In Proceedings of the 18th Conference on Learning Theory (COLT), :470-485, Conference on Learning Theory, 2005, Student Paper Award () PDF BibTeX

Empirical Inference Poster Global image statistics of natural scenes Drewes, J., Wichmann, F., Gegenfurtner, K. Bioinspired Information Processing, 08:1, 2005 () BibTeX

Empirical Inference Conference Paper Healing the Relevance Vector Machine through Augmentation Rasmussen, C., Candela, J. In Proceedings of the 22nd International Conference on Machine Learning, :689 , (Editors: De Raedt, L. , S. Wrobel), ICML, 2005 () PDF PostScript BibTeX

Empirical Inference Conference Paper Implicit Surface Modelling as an Eigenvalue Problem Walder, C., Chapelle, O., Schölkopf, B. In Proceedings of the 22nd International Conference on Machine Learning, :937-944, (Editors: L De Raedt and S Wrobel), ACM, New York, NY, USA, ICML, 2005 () PDF BibTeX

Empirical Inference Conference Paper Intrinsic Dimensionality Estimation of Submanifolds in Euclidean space Hein, M., Audibert, Y. In Proceedings of the 22nd International Conference on Machine Learning, :289 , (Editors: De Raedt, L. , S. Wrobel), ICML Bonn, 2005 () PDF BibTeX

Empirical Inference Conference Paper Joint Kernel Maps Weston, J., Schölkopf, B., Bousquet, O. In Proceedings of the 8th International Work-Conference on Artificial Neural Networks (Computational Intelligence and Bioinspired System), Proceedings of the 8th InternationalWork-Conference on Artificial Neural Networks, LNCS 3512:176-191, (Editors: J Cabestany and A Prieto and F Sandoval), Springer, Berlin Heidelberg, Germany, IWANN, 2005 () PostScript DOI BibTeX

Empirical Inference Conference Paper Large Scale Genomic Sequence SVM Classifiers Sonnenburg, S., Rätsch, G., Schölkopf, B. In Proceedings of the 22nd International Conference on Machine Learning, Proceedings of the 22nd International Conference on Machine Learning, :849-856, (Editors: L De Raedt and S Wrobel), ACM, New York, NY, USA, ICML, 2005 () PDF BibTeX

Empirical Inference Conference Paper Long Term Prediction of Product Quality in a Glass Manufacturing Process Using a Kernel Based Approach Jung, T., Herrera, L., Schölkopf, B. In Proceedings of the 8th International Work-Conference on Artificial Neural Networks (Computational Intelligence and Bioinspired Systems), Proceedings of the 8th International Work-Conferenceon Artificial Neural Networks (Computational Intelligence and Bioinspired Systems), Lecture Notes in Computer Science, Vol. 3512, LNCS 3512:960-967, (Editors: J Cabestany and A Prieto and F Sandoval), Springer, Berlin Heidelberg, Germany, IWANN, 2005 () DOI BibTeX

Empirical Inference Technical Report Maximum-Margin Feature Combination for Detection and Categorization BakIr, G., Wu, M., Eichhorn, J. Max Planck Institute for Biological Cybernetics, Tübingen, Germany, 2005 () PDF BibTeX

Empirical Inference Article Moment Inequalities for Functions of Independent Random Variables Boucheron, S., Bousquet, O., Lugosi, G., Massart, P. To appear in Annals of Probability, 33:514-560, 2005 () PDF BibTeX

Autonomous Motion Empirical Inference Conference Paper Natural Actor-Critic Peters, J., Vijayakumar, S., Schaal, S. In Proceedings of the 16th European Conference on Machine Learning, 3720:280-291, (Editors: Gama, J.;Camacho, R.;Brazdil, P.;Jorge, A.;Torgo, L.), Springer, ECML, 2005, clmc () DOI URL BibTeX

Empirical Inference Conference Paper Object correspondence as a machine learning problem Schölkopf, B., Steinke, F., Blanz, V. In Proceedings of the 22nd International Conference on Machine Learning, :777-784, (Editors: L De Raedt and S Wrobel), ACM, New York, NY, USA, ICML, 2005 () PDF BibTeX

Empirical Inference Conference Paper Propagating Distributions on a Hypergraph by Dual Information Regularization Tsuda, K. In Proceedings of the 22nd International Conference on Machine Learning, :921 , (Editors: De Raedt, L. , S. Wrobel), ICML Bonn, 2005 () BibTeX

Empirical Inference Poster Rapid animal detection in natural scenes: critical features are local Wichmann, F., Rosas, P., Gegenfurtner, K. Experimentelle Psychologie. Beitr{\"a}ge zur 47. Tagung experimentell arbeitender Psychologen, 47:225, 2005 () BibTeX

Empirical Inference Article Robust EEG Channel Selection Across Subjects for Brain Computer Interfaces Schröder, M., Lal, T., Hinterberger, T., Bogdan, M., Hill, J., Birbaumer, N., Rosenstiel, W., Schölkopf, B. EURASIP Journal on Applied Signal Processing, 2005(19, Special Issue: Trends in Brain Computer Interfaces):3103-3112, (Editors: Vesin, J. M., T. Ebrahimi), 2005 () Web DOI BibTeX

Empirical Inference Book Chapter Support Vector Machines and Kernel Algorithms Schölkopf, B., Smola, A. In Encyclopedia of Biostatistics (2nd edition), Vol. 8, 8:5328-5335, (Editors: P Armitage and T Colton), John Wiley & Sons, NY USA, 2005 () BibTeX

Empirical Inference Poster The human brain as large margin classifier Graf, A., Wichmann, F., Bülthoff, H., Schölkopf, B. Proceedings of the Computational & Systems Neuroscience Meeting (COSYNE), 2:1, 2005 () BibTeX

Empirical Inference Article Theory of Classification: A Survey of Some Recent Advances Boucheron, S., Bousquet, O., Lugosi, G. ESAIM: Probability and Statistics, 9:323 , 2005 () PDF DOI BibTeX

Empirical Inference Technical Report Towards a Statistical Theory of Clustering. Presented at the PASCAL workshop on clustering, London von Luxburg, U., Ben-David, S. Presented at the PASCAL workshop on clustering, London, 2005 () PDF BibTeX

Empirical Inference Book Chapter Visual perception I: Basic principles Wagemans, J., Wichmann, F., de Beeck, H. In Handbook of Cognition, :3-47, (Editors: Lamberts, K. , R. Goldstone), Sage, London, 2005 () BibTeX