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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2004

Posters (13):

Wichmann F (April-2004): Masking by plaid patterns revisited, 46. Tagung Experimentell Arbeitender Psychologen (TeaP 2004), Giessen, Germany, Experimentelle Psychologie, 46 285.
Graf ABA, Wichmann FA, Bülthoff HH and Schölkopf B (March-2004): Classification and Memory Behaviour of Man Revisited by Machine, Computational and Systems Neuroscience Meeting (COSYNE 2004), Cold Spring Harbor, NY, USA.
Tsuda K and Noble WS (March-2004): Learning kernels from biological networks by maximizing entropy, Eighth Annual International Conference on Computational Molecular Biology (RECOMB 2004), San Diego, CA, USA.
Schröder M, Lal TN, Bogdan M and Schölkopf B (February-2004): EEG Channel Selection for Brain Computer Interface Systems Based on Support Vector Methods, 7th Tübingen Perception Conference (TWK 2004), Tübingen, Germany.
Kienzle W and Franz MO (February-2004): Efficient Approximations for Support Vector Classiers, 7th Tübingen Perception Conference (TWK 2004), Tübingen, Germany.
Graf ABA, Wichmann FA, Bülthoff HH and Schölkopf B (February-2004): Human Classification Behaviour Revisited by Machine Learning, 7th Tübingen Perception Conference (TWK 2004), Tübingen, Germany.
Sinz F and Franz MO (February-2004): Learning Depth, 7th Tübingen Perception Conference (TWK 2004), Tübingen, Germany.
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Jäkel F, Hill J and Wichmann FA (February-2004): m-Alternative-Forced-Choice: Improving the Efficiency of the Method of Constant Stimuli, 7th Tübingen Perception Conference (TWK 2004), Tübingen, Germany.
Hill NJ, Lal TN, Schröder M, Hinterberger T, Birbaumer N and Schölkopf B (February-2004): Selective Attention to Auditory Stimuli: A Brain-Computer Interface Paradigm, 7th Tübingen Perception Conference (TWK 2004), Tübingen, Germany.
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Rosas P, Wichmann FA, Ernst MO and Wagemans J (February-2004): Texture and Haptic Cues in Slant Discrimination: Measuring the Effect of Texture Type, 7th Tübingen Perception Conference (TWK 2004), Tübingen, Germany.
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Theses (2):

von Luxburg U: Statistical Learning with Similarity and Dissimilarity Functions, Technische Universität Berlin, (November-24-2004). PhD thesis
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Graf AAB: Classification and Feature Extraction in Man and Machine, University of Tübingen, Germany, (2004). PhD thesis

Popular Scientific Articles (1):

Schölkopf B: Statistische Lerntheorie und Empirische Inferenz - Tätigkeitsbericht 2004, Jahrbuch der Max-Planck-Gesellschaft 2004, 377-382.
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Talks (12):

Vishwanathan SVN, Guttman O, Borgwardt K and Smola A (December-2004) Abstract Talk: Kernel Extrapolations for Enzyme Classification, NIPS 2004 Workshop on New Problems and Methods in Computational Biology (MLCB 2004), Vancouver, BC, Canada.
Zhou D (October-18-2004) Invited Lecture: Discrete vs. Continuous: Two Sides of Machine Learning, Department of Computer science, and the Center of Computational Learning Systems, Columbia University, New York, NY, USA.
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Zhou D (October-12-2004): Discrete vs. Continuous: Two Sides of Machine Learning, IBM Watson Research Center, Yorktown Heights, NY, USA.
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Zhou D (October-5-2004) Invited Lecture: How to learn from very few examples?, Google Labs, New York, NY, USA.
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Eichhorn J (September-10-2004) Invited Lecture: Grundlagen von Support Vector Maschinen und Anwendungen in der Bildverarbeitung, Workshop: Numerical, Statistical and Discrete Methods in Image Processing, München, Germany.
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Rätsch G and Tsuda K (August-2-2004) Abstract Talk: The v-Trick for Image Reconstruction, First Mathematical Programming Society International Conference on Continuous Optimization (ICCOPT I), Troy, NY, USA 55.
Bousquet O (August-2004) Invited Lecture: Advanced Statistical Learning Theory, Machine Learning Summer School 2004, Tübingen, Germany.
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Schmid M, Henz S, Davison T, Pape U, Vingron M, Schölkopf B, Weigel D and Lohmann JU (July-12-2004) Abstract Talk: AtGenExpress: Expression atlas of Arabidopsis Development, 15th International Conference on Arabidopsis Research, Berlin. Germany 485.
Zhou D (June-25-2004) Invited Lecture: Riemannian Geometry on Graphs and its Application to Ranking and Classification, DIMACS Working Group on The Mathematics of Web Search and Meta-Search, Bertorino, Italy.
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Wichmann F (April-2004) Abstract Talk: Early visual processing: data, theory, models, 46. Tagung Experimentell Arbeitender Psychologen (TeaP 2004), Giessen, Germany, Experimentelle Psychologie, 46 24.
Bousquet O (January-2004) Invited Lecture: Introduction to Category Theory, Max Planck Institute for Biological Cybernetics: Internal Seminar, Tübingen, Germany.
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Zhou D (January-2004) Invited Lecture: Learning from Labeled and Unlabeled Data: Semi-supervised Learning and Ranking, The Natural Language Computing Group of Microsoft Research Asia, and the Institute of System Sciences, the Chinese Academy of Sciences, Beijing, China.
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2003

Proceedings (1):

Schölkopf B and Warmuth MK: Learning Theory and Kernel Machines, 16th Annual Conference on Learning Theory and 7th Kernel Workshop (COLT/Kernel 2003), 746, Springer, Berlin, Germany, (August-2003).
978-3-540-40720-1, Series: Lecture Notes in Computer Science ; 2777

Articles (10):

Schölkopf B (July-2003) Statistical Learning Theory, Capacity and Complexity Complexity 8(4) 87-94.
Weston J, Schölkopf B, Eskin E, Leslie C and Noble WS (June-2003) Dealing with large Diagonals in Kernel Matrices Annals of the Institute of Statistical Mathematics 55(2) 391-408.
Bousquet O (June-2003) New Approaches to Statistical Learning Theory Annals of the Institute of Statistical Mathematics 55(2) 371-389.
Mika S, Rätsch G, Weston J, Schölkopf B, Smola AJ and Müller K-R (May-2003) Constructing descriptive and discriminative nonlinear features: Rayleigh coefficients in kernel feature spaces IEEE Transactions on Pattern Analysis and Machine Intelligence 25(5) 623-628.
Tsuda K, Akaho S and Asai K (May-2003) The em Algorithm for Kernel Matrix Completion with Auxiliary Data Journal of Machine Learning Research 4 67-81.
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Weston J, Perez-Cruz F, Bousquet O, Chapelle O, Elisseeff A and Schölkopf B (April-2003) Feature selection and transduction for prediction of molecular bioactivity for drug design Bioinformatics 19(6) 764-771.
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 '03), Elsevier, Oxford, UK, 1195-1200.
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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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Last updated: Wednesday, 07.12.2011