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Talk (21)

Talk
Freeman, W.; Schölkopf, B.: Computational Photography. NIPS 2008 Workshop: Computational Photography, Whistler, BC, Canada (2008)
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Guyon, I.; Janzing, D.; Schölkopf, B.: Causality: objectives and assessment. NIPS 2008 Workshop: Causality: objectives and assessment, Whistler, BC, Canada (2008)
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Seeger, M.; Nickisch, H.; Pohmann, R.; Schölkopf, B.: Bayesian Experimental Design of MRI Sequences. Workshop on Machine Learning: Approaches to Representational Learning and Recognition in Vision, Frankfurt a.M., Germany (2008)
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Steinke, F.; Hein, M.; Schölkopf, B.: Thin-Plate Splines Between Riemannian Manifolds. HIM Workshop: Geometry and Statistics of Shapes 2008, Bonn, Germany (2008)
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Zeller, G.; Schweikert, G.; Clark, R.; Ossowski, S.; Shin, P.; Frazer, K.; Ecker, J.; Weigel, D.; Schölkopf, B.; Rätsch, G.: Machine Learning Algorithms for Polymorphism Detection. NIPS 2007 Workshop on Machine Learning in Computational Biology (MLCB 2007), Whistler, Canada (2007)
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Fukumizu, K.; Gretton, A.; Sun, X.; Schölkopf, B.: Measuring Conditional Dependence with Kernels. 2nd Workshop on Machine Learning and Optimization at the ISM, Tokyo, Japan (2007)
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Gretton, A.; Borgwardt, K.; Fukumizu, K.; Rasch, M.; Schölkopf, B.; Smola, A.; Song , L.; Teo, C.: Hilbert Space Representations of Probability Distributions. 2nd Workshop on Machine Learning and Optimization at the ISM, Tokyo, Japan (2007)
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Martens, S.; Hill, J.; Farquhar, J.; Schölkopf, B.: Impact of target-to-target interval on classification performance in the P300 speller. Conference Applied Neuroscience for Healthy Brain Function 2007, Nijmegen, Netherlands (2007)
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Schölkopf, B.: Thoughts on Kernels. 17th Annual International Conference on Inductive Logic Programming (ILP 2007), Corvallis, OR, USA (2007)
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Farquhar, J.; Hill, J.; Schölkopf, B.: Learning Optimal EEG Features Across Time, Frequency and Space. NIPS 2006 Workshop on Current Trends in Brain-Computer Interfacing, Whistler, BC, Canada (2006)
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Sun, X.; Janzing, D.; Schölkopf, B.: Inferring Causal Directions by Evaluating the Complexity of Conditional Distributions. NIPS 2006 Workshop on Causality and Feature Selection (CWS 2006), Whistler, BC, Canada (2006)
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Schölkopf, B.: Kernel Machines for Computer Graphics. 18th International Conference on Pattern Recognition (ICPR 2006), Hongkong, China (2006)
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Clark, R.; Ossowski S, Schweikert, G.; Rätsch, G.; Shinn P, Zeller G, Warthmann N, Fu G, Hinds D, Chen H, Frazer K, Huson D, Schölkopf, B.; Nordborg M, Ecker, J.; Weigel, D.: An Inventory of Sequence Polymorphisms For Arabidopsis. 17th International Conference on Arabidopsis Research, Madison, Wisc., USA (2006)
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Rätsch, G.; Sonnenburg, S.; Ong, C.; Schölkopf, B.: Accurate prediction of alternative splicing events. NIPS Workshop on Computational Biology and the Analysis of Heterogeneous Data (MLCB 2005), Whistler, BC, Canada (2005)
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Zhou, D.; Huang, J.; Schölkopf, B.: Beyond pairwise classification and clustering using hypergraphs. NIPS Workshop on Computational Biology and the Analysis of Heterogeneous Data (MLCB 2005), Whistler, BC, Canada (2005)
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Wu, M.; Schölkopf, B.; BakIr, G.: Building Sparse Large Margin Classifiers. The 22nd International Conference on Machine Learning (ICML 2005), Bonn, Germany (2005)
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Schölkopf, B.: Kernel methods and dimensionality reduction. Designing Tomorrow' s Category-Level 3D Object Recognition Systems: An International Workshop, Taormina, Italy (2003)
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Schölkopf, B.: Introduction to kernel methods. Workshop "Kernel Methods in Computational Biology" 2003, Berlin, Germany (2003)
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Bousquet, O.; Schölkopf, B.: Statistical Learning Theory. Interdisziplinäres Kolleg Günne 2003: Applications, Brains and Computers, Günne, Germany (2003)

Poster (44)

Poster
Bruijns, S.; Meding, K.; Schölkopf, B.; Wichman, F.: Phenomenal Causality and Sensory Realism. 42nd European Conference on Visual Perception (ECVP 2019), Leuven, Belgium (2019)
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