Schökopf, B.In Mit Optimismus in die Zukunft schauen. Künstliche Intelligenz - Chancen und Rahmenbedingungen, pages: 26-34, (Editors: Bender, G. and Herbrich, R. and Siebenhaar, K.), B&S Siebenhaar Verlag, 2018 (incollection)
In Stevens’ Handbook of Experimental Psychology and Cognitive Neuroscience, 5 (Methodology), 7, 4th, John Wiley & Sons, Inc., 2018 (inbook) , Jäkel, F.
In Brain–Computer Interfaces Handbook, pages: 425-442, 22, , Fiebig, K., , (Editors: Chang S. Nam, Anton Nijholt and Fabien Lotte), CRC Press, 2018 (incollection)
53rd Annual Allerton Conference on Communication, Control, and Computing, September 2015 (talk)
In Handbook of Biomedical Imaging, pages: 63-81, 4, , , (Editors: Paragios, N., Duncan, J. and Ayache, N.), Springer, Berlin, Germany, June 2015 (inbook)
DALI workshop on Networks: Processes and Causality, April 2015 (talk)
Chaves, R., Majenz, C., Luft, L., Maciel, T.,18th Conference on Quantum Information Processing (QIP), 2015 (talk) , , Gross, D.
Foreman-Mackey, D., Hogg, D. W.,IAU General Assembly, 22, pages: 2258352, 2015 (talk)
In Measures of Complexity: Festschrift for Alexey Chervonenkis, pages: 253-265, 18, , , , (Editors: Vovk, V., Papadopoulos, H. and Gammerman, A.), Springer, 2015 (inbook)
97, pages: 191, Springer Tracts in Advanced Robotics, Springer, 2014 (book) ,
44th Annual Meeting of the Society for Neuroscience (Neuroscience), 2014 (talk) , , Logothetis, N. K.
In Regularization, Optimization, Kernels, and Support Vector Machines, pages: 427-456, 19, Chapman & Hall/CRC Machine Learning & Pattern Recognition, , , , , Zhou, Z., (Editors: Suykens, J. A. K., Signoretto, M. and Argyriou, A.), Chapman and Hall/CRC, Boca Raton, USA, 2014 (inbook)
Research Network on Learning Systems Summer School, 2014 (talk)
In Visualization and Processing of Tensors and Higher Order Descriptors for Multi-Valued Data, pages: 129-161, Mathematics + Visualization, , Fuster, A., Ghosh, A., Deriche, R., Florack, L., Lim, L. (Editors: Westin, C.-F., Vilanova, A. and Burgeth, B.), Springer, 2014 (inbook)
In Scientific Visualization: Uncertainty, Multifield, Biomedical, and Scalable Visualization, pages: 79-92, 8, Mathematics + Visualization, , Vilanova, A., Brecheisen, R., Kindlmann, G. (Editors: Hansen, C. D., Chen, M., Johnson, C. R., Kaufman, A. E. and Hagen, H.), Springer, 2014 (inbook)
In Regularization, Optimization, Kernels, and Support Vector Machines, pages: 83-102, 4, (Editors: Suykens, J. A. K., Signoretto, M. and Argyriou, A.), CRC Press, 2014 (inbook)
24th Summer School University of Jyväskylā, Finland, August, 2014 (talk)
pages: 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 , Smola, A. here. (book)