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):

Csato L, Opper M and Winther O (April-2003) Tractable Inference for Probabilistic Data Models Complexity 8(4) 64-68.
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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).
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.
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Last updated: Wednesday, 07.12.2011