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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
Empirical Inference Poster Detection and discrimination in pink noise Wichmann, F., Henning, G. 5:100, 5. T{\"u}binger Wahrnehmungskonferenz (TWK 2002), February 2002 () Web BibTeX
Empirical Inference Article Training invariant support vector machines DeCoste, D., Schölkopf, B. Machine Learning, 46(1-3):161-190, January 2002 () PDF DOI BibTeX
Empirical Inference Technical Report A compression approach to support vector model selection von Luxburg, U., Bousquet, O., Schölkopf, B. (101), Max Planck Institute for Biological Cybernetics, 2002, see more detailed JMLR version () BibTeX
Empirical Inference Conference Paper A kernel approach for learning from almost orthogonal patterns Schölkopf, B., Weston, J., Eskin, E., Leslie, C., Noble, W. In 13th European Conference on Machine Learning (ECML 2002) and 6th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD'2002), Helsinki, Principles of Data Mining and Knowledge Discovery, Lecture Notes in Computer Science, 2430/2431:511-528, Lecture Notes in Computer Science, (Editors: T Elomaa and H Mannila and H Toivonen), Springer, Berlin, Germany, 13th European Conference on Machine Learning (ECML 2002) and 6th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD'2002), 2002 () PostScript DOI BibTeX
Empirical Inference Poster Application of Monte Carlo Methods to Psychometric Function Fitting Wichmann, F. Proceedings of the 33rd European Conference on Mathematical Psychology, :44, 2002 () BibTeX
Empirical Inference Article Contrast discrimination with pulse-trains in pink noise Henning, G., Bird, C., Wichmann, F. Journal of the Optical Society of America A, 19(7):1259-1266, 2002 () PDF BibTeX
Empirical Inference Article Contrast discrimination with sinusoidal gratings of different spatial frequency Bird, C., Henning, G., Wichmann, F. Journal of the Optical Society of America A, 19(7):1267-1273, 2002 () PDF BibTeX
Empirical Inference Conference Paper Luminance Artifacts on CRT Displays Wichmann, F. In IEEE Visualization, :571-574, (Editors: Moorhead, R.; Gross, M.; Joy, K. I.), IEEE Visualization, 2002 () BibTeX
Empirical Inference Poster Optimal linear estimation of self-motion - a real-world test of a model of fly tangential neurons Franz, M. SAB 02 Workshop, Robotics as theoretical biology, 7th meeting of the International Society for Simulation of Adaptive Behaviour (SAB), (Editors: Prescott, T.; Webb, B.), 2002 () PDF BibTeX
Empirical Inference Article Support Vector Machines and Kernel Methods: The New Generation of Learning Machines Cristianini, N., Schölkopf, B. AI Magazine, 23(3):31-41, 2002 () BibTeX
Empirical Inference Article Regularized principal manifolds Smola, A., Mika, S., Schölkopf, B., Williamson, R. Journal of Machine Learning Research, 1:179-209, June 2001 () PDF BibTeX
Empirical Inference Thesis Variationsverfahren zur Untersuchung von Grundzustandseigenschaften des Ein-Band Hubbard-Modells Eichhorn, J. Biologische Kybernetik, Technische Universität Dresden, Dresden/Germany, May 2001 () PostScript BibTeX
Empirical Inference Technical Report Inference Principles and Model Selection Buhmann, J., Schölkopf, B. (01301), Dagstuhl Seminar, 2001 () Web BibTeX
Empirical Inference Article Markovian domain fingerprinting: statistical segmentation of protein sequences Bejerano, G., Seldin, Y., Margalit, H., Tishby, N. Bioinformatics, 17(10):927-934, 2001 () PDF Web BibTeX
Empirical Inference Article The psychometric function: I. Fitting, sampling and goodness-of-fit Wichmann, F., Hill, N. Perception and Psychophysics, 63 (8):1293-1313, 2001 () PDF BibTeX
Empirical Inference Article The psychometric function: II. Bootstrap-based confidence intervals and sampling Wichmann, F., Hill, N. Perception and Psychophysics, 63 (8):1314-1329, 2001 () PDF BibTeX
Empirical Inference Conference Paper Unsupervised Segmentation and Classification of Mixtures of Markovian Sources Seldin, Y., Bejerano, G., Tishby, N. In The 33rd Symposium on the Interface of Computing Science and Statistics (Interface 2001 - Frontiers in Data Mining and Bioinformatics), :1-15, 33rd Symposium on the Interface of Computing Science and Statistics (Interface 2001 - Frontiers in Data Mining and Bioinformatics), 2001 () PDF Web BibTeX
Empirical Inference Conference Paper Unsupervised Sequence Segmentation by a Mixture of Switching Variable Memory Markov Sources Seldin, Y., Bejerano, G., Tishby, N. In In the proceeding of the 18th International Conference on Machine Learning (ICML 2001), :513-520, 18th International Conference on Machine Learning (ICML 2001), 2001 () PDF BibTeX
Empirical Inference Book Advances in Large Margin Classifiers Smola, A., Bartlett, P., Schölkopf, B., Schuurmans, D. :422, Neural Information Processing, MIT Press, Cambridge, MA, USA, October 2000 () Web BibTeX
Empirical Inference Book Chapter An Introduction to Kernel-Based Learning Algorithms Müller, K., Mika, S., Rätsch, G., Tsuda, K., Schölkopf, B. In Handbook of Neural Network Signal Processing, 4, (Editors: Yu Hen Hu and Jang-Neng Hwang), CRC Press, 2000 (Published) BibTeX
Empirical Inference Conference Paper Choosing nu in support vector regression with different noise models — theory and experiments Chalimourda, A., Schölkopf, B., Smola, A. In International Joint Conference on Neural Networks, Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, IJCNN 2000, Neural Computing: New Challenges and Perspectives for the New Millennium, IEEE, International Joint Conference on Neural Networks, 2000 () BibTeX
Empirical Inference Conference Paper Engineering Support Vector Machine Kernels That Recognize Translation Initiation Sites in DNA Zien, A., Rätsch, G., Mika, S., Schölkopf, B., Lemmen, C., Smola, A., Lengauer, T., Müller, K. In German Conference on Bioinformatics (GCB 1999), October 1999 (Published) Web BibTeX
Empirical Inference Article SVMs — a practical consequence of learning theory Schölkopf, B. IEEE Intelligent Systems and their Applications, 13(4):18-21, July 1998 () PDF Web DOI BibTeX
Empirical Inference Conference Paper From regularization operators to support vector kernels Smola, A., Schölkopf, B. In Advances in Neural Information Processing Systems, Advances in Neural Information Processing Systems 10, :343-349, (Editors: M Jordan and M Kearns and S Solla), MIT Press, Cambridge, MA, USA, 11th Annual Conference on Neural Information Processing (NIPS 1997), June 1998 () PDF Web BibTeX
Empirical Inference Conference Paper Prior knowledge in support vector kernels Schölkopf, B., Simard, P., Smola, A., Vapnik, V. In Advances in Neural Information Processing Systems, Advances in Neural Information Processing Systems 10, :640-646 , (Editors: M Jordan and M Kearns and S Solla ), MIT Press, Cambridge, MA, USA, Eleventh Annual Conference on Neural Information Processing (NIPS 1997), June 1998 () PDF Web BibTeX
Empirical Inference Article Learning view graphs for robot navigation Franz, M., Schölkopf, B., Mallot, H., Bülthoff, H. A. Autonomous Robots, 5(1):111-125, March 1998 () PDF PDF DOI BibTeX
Empirical Inference Conference Paper Incorporating invariances in support vector learning machines Schölkopf, B., Burges, C., Vapnik, V. In Artificial Neural Networks --- ICANN‘96, Artificial Neural Networks: ICANN 96, LNCS vol. 1112, :47-52, (Editors: C von der Malsburg and W von Seelen and JC Vorbrüggen and B Sendhoff), Springer, Berlin, Germany, 6th International Conference on Artificial Neural Networks, July 1996, volume 1112 of Lecture Notes in Computer Science () PDF DOI BibTeX