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Empirical Inference Article Constructing Descriptive and Discriminative Non-linear Features: Rayleigh Coefficients in Kernel Feature Spaces Mika, S., Rätsch, G., Weston, J., Schölkopf, B., Smola, A., Müller, K. IEEE Transactions on Pattern Analysis and Machine Intelligence, 25(5):623-628, May 2003 DOI BibTeX
Empirical Inference Technical Report The Geometry Of Kernel Canonical Correlation Analysis Kuss, M., Graepel, T. (108), Max Planck Institute for Biological Cybernetics, Tübingen, Germany, May 2003 PDF BibTeX
Empirical Inference Article The em Algorithm for Kernel Matrix Completion with Auxiliary Data Tsuda, K., Akaho, S., Asai, K. Journal of Machine Learning Research, 4:67-81, May 2003 PDF BibTeX
Empirical Inference Conference Paper A case based comparison of identification with neural network and Gaussian process models. Kocijan, J., Banko, B., Likar, B., Girard, A., Murray-Smith, R., Rasmussen, C. In Proceedings of the International Conference on Intelligent Control Systems and Signal Processing ICONS 2003, 1:137-142, (Editors: Ruano, E.A.), Proceedings of the International Conference on Intelligent Control Systems and Signal Processing ICONS, April 2003 PDF BibTeX
Empirical Inference Article Feature selection and transduction for prediction of molecular bioactivity for drug design Weston, J., Perez-Cruz, F., Bousquet, O., Chapelle, O., Elisseeff, A., Schölkopf, B. Bioinformatics, 19(6):764-771, April 2003 Web BibTeX
Empirical Inference Conference Paper On-Line One-Class Support Vector Machines. An Application to Signal Segmentation Gretton, A., Desobry, .. In IEEE ICASSP Vol. 2, IEEE ICASSP Vol. 2, 709-712, IEEE ICASSP, April 2003 PostScript BibTeX
Empirical Inference Conference Paper The Kernel Mutual Information Gretton, A., Herbrich, R., Smola, A. In IEEE ICASSP Vol. 4, 880-883, IEEE ICASSP, April 2003 PostScript BibTeX
Empirical Inference Technical Report The Kernel Mutual Information Gretton, A., Herbrich, R., Smola, A. Max Planck Institute for Biological Cybernetics, April 2003 PostScript BibTeX
Empirical Inference Article Tractable Inference for Probabilistic Data Models Csato, L., Opper, M., Winther, O. Complexity, 8(4):64-68, April 2003 PDF GZIP Web BibTeX
Empirical Inference Talk Rademacher and Gaussian averages in Learning Theory Bousquet, O. Universite de Marne-la-Vallee, March 2003 PDF BibTeX
Empirical Inference Talk Statistical Learning Theory Bousquet, O., Schölkopf, B. March 2003 PDF BibTeX
Empirical Inference Article Use of the Zero-Norm with Linear Models and Kernel Methods Weston, J., Elisseeff, A., Schölkopf, B., Tipping, M. Journal of Machine Learning Research, 3:1439-1461, March 2003 PDF PostScript PDF BibTeX
Empirical Inference Poster A Representation of Complex Movement Sequences Based on Hierarchical Spatio-Temporal Correspondence for Imitation Learning in Robotics Ilg, W., Bakir, G., Franz, M., Giese, M. 6:74, (Editors: H.H. Bülthoff, K.R. Gegenfurtner, H.A. Mallot, R. Ulrich, F.A. Wichmann), 6. T{\"u}binger Wahrnehmungskonferenz (TWK 2003), February 2003 PDF Web BibTeX
Empirical Inference Talk Concentration Inequalities and Data-Dependent Error Bounds Bousquet, O. Uni. Jena, February 2003 PDF BibTeX
Empirical Inference Poster Constraints measures and reproduction of style in robot imitation learning Bakir, G., Ilg, W., Franz, M., Giese, M. 6:70, (Editors: H.H. Bülthoff, K.R. Gegenfurtner, H.A. Mallot, R. Ulrich, F.A. Wichmann), 6. T{\"u}binger Wahrnehmungskonferenz (TWK 2003), February 2003 PDF Web BibTeX
Empirical Inference Talk Introduction: Robots with Cognition? Franz, M. 6:38, (Editors: H.H. Bülthoff, K.R. Gegenfurtner, H.A. Mallot, R. Ulrich, F.A. Wichmann), 6. T{\"u}binger Wahrnehmungskonferenz (TWK 2003), February 2003 Web BibTeX
Empirical Inference Poster Phase Information and the Recognition of Natural Images Braun, D., Wichmann, F., Gegenfurtner, K. 6:138, (Editors: H.H. Bülthoff, K.R. Gegenfurtner, H.A. Mallot, R. Ulrich, F.A. Wichmann), 6. T{\"u}binger Wahrnehmungskonferenz (TWK 2003), February 2003 Web BibTeX
Empirical Inference Poster Study of Human Classification using Psychophysics and Machine Learning Graf, A., Wichmann, F., Bülthoff, H., Schölkopf, B. 6:149, (Editors: H.H. Bülthoff, K.R. Gegenfurtner, H.A. Mallot, R. Ulrich, F.A. Wichmann), 6. T{\"u}binger Wahrnehmungskonferenz (TWK 2003), February 2003 PDF Web BibTeX
Empirical Inference Conference Paper Hierarchical Spatio-Temporal Morphable Models for Representation of complex movements for Imitation Learning Ilg, W., Bakir, G., Franz, M., Giese, M. In 11th International Conference on Advanced Robotics, (2)453-458, (Editors: Nunes, U., A. de Almeida, A. Bejczy, K. Kosuge and J.A.T. Machado), 11th International Conference on Advanced Robotics, January 2003 PDF BibTeX
Empirical Inference Technical Report A Note on Parameter Tuning for On-Line Shifting Algorithms Bousquet, O. Max Planck Institute for Biological Cybernetics, Tübingen, Germany, 2003 PDF PostScript BibTeX
Empirical Inference Book Chapter A Short Introduction to Learning with Kernels Schölkopf, B., Smola, A. In Proceedings of the Machine Learning Summer School, Lecture Notes in Artificial Intelligence, Vol. 2600, 41-64, LNAI 2600, (Editors: S Mendelson and AJ Smola), Springer, Berlin, Heidelberg, Germany, 2003 BibTeX
Empirical Inference Book Chapter An Introduction to Support Vector Machines Schölkopf, B. In Recent Advances and Trends in Nonparametric Statistics , 3-17, (Editors: MG Akritas and DN Politis), Elsevier, Amsterdam, The Netherlands, 2003 Web DOI BibTeX
Empirical Inference Article An Introduction to Variable and Feature Selection. Guyon, I., Elisseeff, A. Journal of Machine Learning, 3:1157-1182, 2003 BibTeX
Empirical Inference Book Chapter Bayesian Kernel Methods Smola, A., Schölkopf, B. In Advanced Lectures on Machine Learning, Machine Learning Summer School 2002, Lecture Notes in Computer Science, Vol. 2600, LNAI 2600:65-117, 0, (Editors: S Mendelson and AJ Smola), Springer, Berlin, Germany, 2003 DOI BibTeX
Empirical Inference Conference Paper Distance-based classification with Lipschitz functions von Luxburg, U., Bousquet, O. In Learning Theory and Kernel Machines, Proceedings of the 16th Annual Conference on Computational Learning Theory, 314-328, (Editors: Schölkopf, B. and M.K. Warmuth), Learning Theory and Kernel Machines, Proceedings of the 16th Annual Conference on Computational Learning Theory, 2003 PDF PostScript BibTeX
Empirical Inference Book Chapter Extension of the nu-SVM range for classification Perez-Cruz, F., Weston, J., Herrmann, D., Schölkopf, B. In Advances in Learning Theory: Methods, Models and Applications, NATO Science Series III: Computer and Systems Sciences, Vol. 190, 190:179-196, NATO Science Series III: Computer and Systems Sciences, (Editors: J Suykens and G Horvath and S Basu and C Micchelli and J Vandewalle), IOS Press, Amsterdam, 2003 BibTeX
Empirical Inference Conference Paper Feature Selection for Support Vector Machines by Means of Genetic Algorithms Fröhlich, H., Chapelle, O., Schölkopf, B. In 15th IEEE International Conference on Tools with AI, 142-148, 15th IEEE International Conference on Tools with AI, 2003 BibTeX
Empirical Inference Technical Report Interactive Images Toyama, K., Schölkopf, B. (MSR-TR-2003-64), Microsoft Research, Cambridge, UK, 2003 Web BibTeX
Empirical Inference Conference Paper Kernel Methods and Their Applications to Signal Processing Bousquet, O., Perez-Cruz, F. In IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP ‘03), Proceedings. (ICASSP ‘03), Special Session on Kernel Methods:860 , ICASSP, 2003 PDF PostScript BibTeX
Empirical Inference Poster Models of contrast transfer as a function of presentation time and spatial frequency. Wichmann, F. 2003 BibTeX
Empirical Inference Article New Approaches to Statistical Learning Theory Bousquet, O. Annals of the Institute of Statistical Mathematics, 55(2):371-389, 2003 PostScript BibTeX
Empirical Inference Conference Paper Predictive control with Gaussian process models Kocijan, J., Murray-Smith, R., Rasmussen, C., Likar, B. In Proceedings of IEEE Region 8 Eurocon 2003: Computer as a Tool, 352-356, (Editors: Zajc, B. and M. Tkal), Proceedings of IEEE Region 8 Eurocon 2003: Computer as a Tool, 2003 PDF PostScript BibTeX
Empirical Inference Conference Paper Propagation of Uncertainty in Bayesian Kernel Models - Application to Multiple-Step Ahead Forecasting Quiñonero-Candela, J., Girard, A., Larsen, J., Rasmussen, C. In IEEE International Conference on Acoustics, Speech and Signal Processing, 2:701-704, IEEE International Conference on Acoustics, Speech and Signal Processing, 2003 PDF PostScript BibTeX
Empirical Inference Book Chapter Stability of ensembles of kernel machines Elisseeff, A., Pontil, M. In 190:111-124, NATO Science Series III: Computer and Systems Science, (Editors: Suykens, J., G. Horvath, S. Basu, C. Micchelli and J. Vandewalle), IOS press, Netherlands, 2003 BibTeX
Empirical Inference Book Chapter Statistical Learning and Kernel Methods in Bioinformatics Schölkopf, B., Guyon, I., Weston, J. In Artificial Intelligence and Heuristic Methods in Bioinformatics, 183:1-21, 3, (Editors: P Frasconi und R Shamir), IOS Press, Amsterdam, The Netherlands, 2003 BibTeX
Empirical Inference Poster The importance of phase information for recognizing natural images Gegenfurtner, K., Braun, D., Wichmann, F. 2003 BibTeX
Empirical Inference Conference Paper Unsupervised Clustering of Images using their Joint Segmentation Seldin, Y., Starik, S., Werman, M. In The 3rd International Workshop on Statistical and Computational Theories of Vision (SCTV 2003), 1-24, 3rd International Workshop on Statistical and Computational Theories of Vision (SCTV 2003), 2003 PDF Web BibTeX
Empirical Inference Thesis m-Alternative Forced Choice—Improving the Efficiency of the Method of Constant Stimuli Jäkel, F. Biologische Kybernetik, Graduate School for Neural and Behavioural Sciences, Tübingen, 2003 BibTeX
Empirical Inference Book Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond Schölkopf, B., Smola, A. 644, Adaptive Computation and Machine Learning, MIT Press, Cambridge, MA, USA, December 2002, Parts of this book, including an introduction to kernel methods, can be downloaded here. Web DOI BibTeX
Empirical Inference Conference Paper Gender Classification of Human Faces Graf, A., Wichmann, F. In Biologically Motivated Computer Vision 2002, Biologically Motivated Computer Vision, 1-18, (Editors: Bülthoff, H. H., S.W. Lee, T. A. Poggio and C. Wallraven), Springer, Berlin, Germany, Second International Workshop on Biologically Motivated Computer Vision (BMCV 2002), November 2002 PDF PDF DOI BibTeX
Empirical Inference Conference Paper Insect-Inspired Estimation of Self-Motion Franz, M., Chahl, J. In Proc. 2nd Workshop on Biologically Motivated Computer Vision 2002, BMCV 2002, Biologically Motivated Computer Vision, (2525)171-180, LNCS, (Editors: Bülthoff, H.H. , S.W. Lee, T.A. Poggio, C. Wallraven), Springer, Berlin, Germany, Second International Workshop on Biologically Motivated Computer Vision (BMCV 2002), November 2002 PDF PDF DOI BibTeX
Empirical Inference Poster Modelling Contrast Transfer in Spatial Vision Wichmann, F. Journal of Vision, 2(10):7, Second Annual Meeting of the Vision Sciences Society (VSS 2002), November 2002 Web DOI BibTeX
Empirical Inference Poster Pulse train detection and discrimination in pink noise Henning, G., Wichmann, F., Bird, C. Journal of Vision, 2(7):229, Second Annual Meeting of the Vision Sciences Society (VSS 2002), November 2002 Web DOI BibTeX
Empirical Inference Poster Surface-slant-from-texture discrimination: Effects of slant level and texture type Rosas, P., Wichmann, F., Wagemans, J. Journal of Vision, 2(7):300, Second Annual Meeting of the Vision Sciences Society (VSS 2002), November 2002 Web DOI BibTeX
Empirical Inference Conference Paper Combining sensory Information to Improve Visualization Ernst, M., Banks, M., Wichmann, F., Maloney, L., Bülthoff, H. In Proceedings of the Conference on Visualization ‘02 (VIS ‘02), 571-574, (Editors: Moorhead, R. , M. Joy), IEEE, Piscataway, NJ, USA, IEEE Conference on Visualization 2002 (VIS '02), October 2002 PDF Web BibTeX
Empirical Inference Article Constructing Boosting algorithms from SVMs: an application to one-class classification. Rätsch, G., Mika, S., Schölkopf, B., Müller, K. IEEE Transactions on Pattern Analysis and Machine Intelligence, 24(9):1184-1199, September 2002 DOI BibTeX
Empirical Inference Conference Paper Incorporating Invariances in Non-Linear Support Vector Machines Chapelle, O., Schölkopf, B. In Advances in Neural Information Processing Systems, Advances in Neural Information Processing Systems 14, 609-616, (Editors: TG Dietterich and S Becker and Z Ghahramani), MIT Press, Cambridge, MA, USA, 15th Annual Neural Information Processing Systems Conference (NIPS 2001), September 2002 PDF Web BibTeX
Empirical Inference Technical Report Kernel Dependency Estimation Weston, J., Chapelle, O., Elisseeff, A., Schölkopf, B., Vapnik, V. (98), Max Planck Institute for Biological Cybernetics, August 2002 PDF BibTeX
Empirical Inference Poster Phase information in the recognition of natural images Braun, D., Wichmann, F., Gegenfurtner, K. Perception, 31(ECVP Abstract Supplement):133, 25th European Conference on Visual Perception, August 2002 Web BibTeX
Empirical Inference Article The contributions of color to recognition memory for natural scenes Wichmann, F., Sharpe, L., Gegenfurtner, K. Journal of Experimental Psychology: Learning, Memory and Cognition, 28(3):509-520, May 2002 PDF Web DOI BibTeX