Director of the Department

Prof. Dr. Bernhard Schölkopf
Prof. Dr. Bernhard Schölkopf
bernhard.schoelkopf[at]tuebingen.mpg.de


Secretary: Sabrina Rehbaum
Phone: +49 7071 601-551
Fax: +49 7071 601-552
sabrina.rehbaum[at]tuebingen.mpg.de
 

More about the Department

Scientific Awards

Since the foundation of our department in 2002, we have received the following awards.

 

Publication List Department Schölkopf

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2003

Articles (10):

Guyon I and Elisseeff A (March-2003) An Introduction to Variable and Feature Selection. Journal of Machine Learning 3 1157-1182.
Weston J, Elisseeff A, Schölkopf B and Tipping M (March-2003) Use of the Zero-Norm with Linear Models and Kernel Methods Journal of Machine Learning Research 3 1439-1461.
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Kin T, Kato T, Tsuda K and Asai K (2003) Protein Classification via Kernel Matrix Completion Genome Informatics 14 516-517.

Conference papers (29):

Shin H, Tsuda K and Schölkopf B (December-2003) Protein Functional Class Prediction with a Combined Graph, Korean Data Mining Conference, 200-219.
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Fröhlich H, Chapelle O and Schölkopf B (November-2003) Feature Selection for Support Vector Machines Using Genetic Algorithms, 15th IEEE International Conference on Tools with Artificial Intelligence 2003, IEEE Operations Center, Piscataway, NJ, USA, 142-148.
Chapelle O, Weston J and Schölkopf B (October-2003) Cluster Kernels for Semi-Supervised Learning In: Advances in Neural Information Processing Systems 15, , Sixteenth Annual Conference on Neural Information Processing Systems (NIPS 2002), MIT Press, Cambridge, MA, USA, 585-592.
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Tsuda K, Kawanabe M and Müller KR (October-2003) Clustering with the Fisher score In: Advances in Neural Information Processing Systems 15, , Sixteenth Annual Conference on Neural Information Processing Systems (NIPS 2002), MIT Press, Cambridge, MA, USA, 729-736.
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Weston J, Chapelle O, Elisseeff A, Schölkopf B and Vapnik V (October-2003) Kernel Dependency Estimation In: Advances in Neural Information Processing Systems 15, , Sixteenth Annual Conference on Neural Information Processing Systems (NIPS 2002), MIT Press, Cambridge, MA, USA, 873-880.
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Franz MO and Chahl JS (October-2003) Linear Combinations of Optic Flow Vectors for Estimating Self-Motion: a Real-World Test of a Neural Model In: Advances in Neural Information Processing Systems 15, , Sixteenth Annual Conference on Neural Information Processing Systems (NIPS 2002), MIT Press, Cambridge, MA, USA, 1319-1326.
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Leslie C, Eskin E, Weston J and Noble WS (October-2003) Mismatch String Kernels for SVM Protein Classification In: Advances in Neural Information Processing Systems 15, , Sixteenth Annual Conference on Neural Information Processing Systems (NIPS 2002), MIT Press, Cambridge, MA, USA, 1417-1424.
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Bousquet O and Herrmann D (October-2003) On the Complexity of Learning the Kernel Matrix In: Advances in Neural Information Processing Systems 15, , Sixteenth Annual Conference on Neural Information Processing Systems (NIPS 2002), The MIT Press, Cambridge, MA, USA, 399-406.
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Kocijan J, Murray-Smith R, Rasmussen CE and Likar B (September-2003) Predictive control with Gaussian process models, IEEE Region 8 Eurocon 2003: Computer as a Tool, IEEE, Piscataway, NJ, USA, 352-356.
Murray-Smith R, Sbarbaro D, Rasmussen CE and Girard A (August-2003) Adaptive, Cautious, Predictive control with Gaussian Process Priors, 13th IFAC Symposium on System Identification (SYSID 2003), Pergamon Press, Oxford, UK, IFAC Proceedings Volumes, 36(16), 1155-1160.
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von Luxburg U and Bousquet O (August-2003) Distance-Based Classification with Lipschitz Functions In: Learning Theory and Kernel Machines, , 16th Annual Conference on Learning Theory and 7th Kernel Workshop (COLT/Kernel 2003), Springer, Berlin, Germany, 314-328, Series: Lecture Notes in Computer Science ; 2777.
Kashima H, Tsuda K and Inokuchi A (August-2003) Marginalized Kernels between Labeled Graphs, Twentieth International Conference on Machine Learning (ICML 2003), AAAI Press, Menlo Park, CA, USA, 321-328.
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Hein M and Bousquet O (August-2003) Maximal Margin Classification for Metric Spaces In: Learning Theory and Kernel Machines, , 16th Annual Conference on Learning Theory and 7th Kernel Workshop (COLT/Kernel 2003), Springer, Berlin, Germany, 72-86, Series: Lecture Notes in Computer Science ; 2777.
Chapelle O, Schölkopf B and Weston J (August-2003) Semi-Supervised Learning through Principal Directions Estimation, ICML 2003 Workshop on the Continuum from Labeled to Unlabeled Data in Machine Learning & Data Mining, 1-7.
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Csato L and Opper M (August-2003) Sparse Gaussian Processes: inference, subspace identification and model selection, 13th IFAC Symposium on System Identification (SYSID 2003), Pergamon Press, Oxford, UK, IFAC Proceedings Volumes, 36(16), 789-794.
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Ilg W, Bakir GH, Franz MO and Giese M (July-2003) Hierarchical Spatio-Temporal Morphable Models for Representation of complex movements for Imitation Learning, 11th International Conference on Advanced Robotics (ICAR 2003), Universidade de Coimbra, Coimbra, Portugal, 453-458.
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Kocijan J, Banko B, Likar B, Girard A, Murray-Smith R and Rasmussen CE (April-2003) A case based comparison of identification with neural network and Gaussian process models, IFAC International Conference on Intelligent Control Systems and Signal Processing (ICONS 2003), Pergamon, Oxford, UK, 137-142.
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Harmeling S, Meinecke F and Müller K-R (April-2003) Analysing ICA component by injection noise, 4th International Symposium on Independent Component Analysis and Blind Signal Separation (ICA 2003), Tokyo, Japan, 149-154.
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Ziehe A, Kawanabe M, Harmeling S and Müller K-R (April-2003) Blind separation of post-nonlinear mixtures using gaussianizing transformations and temporal decorrelation, 4th International Symposium on Independent Component Analysis and Blind Signal Separation (ICA 2003), Tokyo, Japan, 269-274.
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Bousquet O and Perez-Cruz F (April-2003) Kernel methods and their applications to signal processing, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP '03), IEEE Operations Center, Piscataway, NJ, USA, 860-863.
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Gretton A and Desobry F (April-2003) On-line one-class support vector machines: An application to signal segmentation, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP '03), IEEE, Piscataway, NJ, USA, 709-712.
Quiñonero-Candela J, Girard A, Larsen J and Rasmussen CE (April-2003) Propagation of Uncertainty in Bayesian Kernel Models: Application to Multiple-Step Ahead Forecasting, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP '03), IEEE, Piscataway, NJ, USA, 701-704.
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Gretton A, Herbrich R and Smola A (April-2003) The Kernel Mutual Information, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP '03), IEEE, Piscataway, NJ, USA, 880-883.
Schölkopf B and Smola AJ (2003) A Short Introduction to Learning with Kernels In: Advanced Lectures on Machine Learning, , Machine Learning Summer School 2002, Springer, Berlin, Germany, 41-64, Series: Lecture Notes in Computer Science ; 2600.
Smola AJ and Schölkopf B (2003) Bayesian Kernel Methods In: Advanced Lectures on Machine Learning, , Machine Learning Summer School 2002, Springer, Berlin, Germany, 65-117, Series: Lecture Notes in Computer Science ; 2600.
Perez-Cruz F, Weston J, Herrmann DJL and Schölkopf B (2003) Extension of the nu-SVM range for classification In: Advances in learning theory: methods, models and applications, , NATO Advanced Study Institute on Learning Theory and Practice 2002, IOS Press, Amsterdam, 179-196, Series: NATO Science Series III: Computer and Systems Sciences ; 190.
Elisseeff A and Pontil M (2003) Stability of ensembles of kernel machines In: Advances in learning theory: methods, models and applications, , NATO Advanced Study Institute on Learning Theory and Practice 2002, IOS Press, Amsterdam, The Netherlands, 111-124, Series: NATO Science Series III: Computer and Systems Science ; 190.
Schölkopf B, Guyon I and Weston J (2003) Statistical Learning and Kernel Methods in Bioinformatics In: Artificial intelligence and heuristic methods in bioinformatics, , NATO Advanced Research Workshop on Artificial Intelligence and Heuristic Methods in Bioinformatics 2001, IOS Press, Amsterdam, The Netherlands, 1-21, Series: NATO Science Series III: Computer and Systems Science ; 183.
Seldin Y, Starik S and Werman M (2003) Unsupervised Clustering of Images using their Joint Segmentation, 3rd International Workshop on Statistical and Computational Theories of Vision (SCTV 2003), 1-24.
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Contributions to books (2):

Schölkopf B: An Introduction to Support Vector Machines, 3-17. In: Recent Advances and Trends in Nonparametric Statistics, (Ed) M.G. Akritas, Elsevier, Amsterdam, The Netherlands, (2003).
Bousquet O: Concentration Inequalities for Sub-Additive Functions Using the Entropy Method, 213-247. In: Stochastic Inequalities and Applications, (Ed) E. Giné and D. Nualart, Springer, Berlin, Germany, (2003).

Technical reports (11):

Toyama K and Schölkopf B: Interactive Images, MSR-TR-2003-64, Microsoft Research, Microsoft Corporation, Redmond WA USA, (December-2003).
Lal TN, Schröder M, Hinterberger T, Weston J, Bogdan M, Birbaumer N and Schölkopf B: Support Vector Channel Selection in BCI, 120, Max Planck Institute for Biological Cybernetics, Tübingen, Germany, (December-2003).
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Tsuda K and Rätsch G: Image Reconstruction by Linear Programming, 118, Max Planck Institute for Biological Cybernetics, Tübingen, Germany, (October-2003).
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Franz MO and Schölkopf B: Implicit Wiener Series, 114, Max Planck Institute for Biological Cybernetics, Tübingen, Germany, (June-2003).
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Kim KI, Franz M and Schölkopf B: Kernel Hebbian Algorithm for Iterative Kernel Principal Component Analysis, 109, Max Planck Institute for Biological Cybernetics, Tübingen, Germany, (June-2003).
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Zhou D, Bousquet O, Lal TN, Weston J and Schölkopf B: Learning with Local and Global Consistency, 112, Max Planck Institute for Biological Cybernetics, Tuebingen, Germany, (June-2003).
Weston J, Leslie C, Elisseeff A and Noble WS: Machine Learning approaches to protein ranking: discriminative, semi-supervised, scalable algorithms, 111, Max Planck Institute for Biological Cybernetics, Tübingen, Germany, (June-2003).
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Zhou D, Weston J, Gretton A, Bousquet O and Schölkopf B: Ranking on Data Manifolds, 113, Max Planck Institute for Biological Cybernetics, Tübingen, Germany, (June-2003).
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Kuss M and Graepel T: The Geometry Of Kernel Canonical Correlation Analysis, 108, Max Planck Institute for Biological Cybernetics, Tübingen, Germany, (May-2003).
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Gretton A, Herbrich R and Smola AJ: The Kernel Mutual Information, Max Planck Institute for Biological Cybernetics, Tübingen, Germany, (April-2003).
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Bousquet O: A Note on Parameter Tuning for On-Line Shifting Algorithms, Max Planck Institute for Biological Cybernetics, Tübingen, Germany, (2003).
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Posters (13):

Henning GB, Zalevski AM and Hill NJ (December-2003): Cue weighting in stereoacuity with lines and closed forms, 2003 Fall Vision Meeting of the Optical Society of America, Tucson, AZ, USA, Journal of Vision, 3(12) 49.
Wichmann FA (December-2003): Models of contrast transfer as a function of presentation time and spatial frequency, 2003 Fall Vision Meeting of the Optical Society of America, Tucson, AZ, USA, Journal of Vision, 3(12) 82.
Csato L (December-2003): Sparse Gaussian Process Toolbox.
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Rosas P, Wichmann FA, Ernst MO and Wagemans J (December-2003): Texture and haptic cues in slant discrimination: Measuring the effect of texture type on cue combination, 2003 Fall Vision Meeting of the Optical Society of America, Tucson, AZ, USA, Journal of Vision, 3(12) 26.
Ernst MO and Jäkel F (November-2003): Learning to Combine Arbitrary Signals from Vision and Touch, 44th Annual Meeting of The Psychonomic Society, Vancouver, Canada, Abstracts of the Psychonomic Society, 8 1.
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Last updated: Wednesday, 07.12.2011