Publications of B Schölkopf

Gehler, P.; Schölkopf, B.: An introduction to kernel learning algorithms. In: Kernel Methods for Remote Sensing Data Analysis, pp. 25 - 48 (Eds. Camps-Valls, G.; Bruzzone, L.). Wiley, New York, NY, USA (2009)

Gretton, A.; Smola, A.; Huang, J.; Schmittfull, M.; Borgwardt, K.; Schölkopf, B.: Covariate Shift by Kernel Mean Matching. In: Dataset Shift in Machine Learning, 8, pp. 131 - 160 (Eds. Quiñonero-Candela, J.; Sugiyama, M.; Schwaighofer, A.; Lawrence, N.). MIT Press, Cambridge, MA, USA (2009)

Hill, N.; Lal, T.; Tangermann, M.; Hinterberger , T.; Widmann, G.; Elger, C.; Schölkopf, B.; Birbaumer, N.: Classifying Event-Related Desynchronization in EEG, ECoG and MEG signals. In: Toward Brain-Computer Interfacing, pp. 235 - 260 (Eds. Dornhege, G.; Millán , J.; Hinterberger, T.; McFarland, J.; Müller, K.-R.). MIT Press, Cambridge, MA, USA (2007)

Hinterberger, T.; Nijboer, F.; Kübler, A.; Matuz, T.; Furdea, A.; Mochty, U.; Jordan, M.; Lal, T.; Hill, J.; Meilinger, J. et al.; Bensch, M.; Tangermann, M.; Widman, G.; Elger, C.; Rosenstiel, W.; Schölkopf, B.; Birbaumer, N.: Brain-Computer Interfaces for Communication in Paralysis: A Clinical Experimental Approach. In: Toward Brain-Computer Interfacing, pp. 43 - 64 (Eds. Dornhege, G.; Millán , J.; Hinterberger, T.; McFarland, D.; Müller, K.-R.). MIT Press, Cambridge, MA, USA (2007)

Weston, J.; Bakir, G.; Bousquet, O.; Mann, T.; Noble, W.; Schölkopf, B.: Joint Kernel Maps. In: Predicting Structured Data, pp. 67 - 84 (Eds. Bakır, G.; Hofmann, T.; Schölkopf, B.; Smola, A.; Taskar, B. et al.). MIT Press, Cambridge, MA, USA (2007)

BakIr, G.; Schölkopf, B.; Weston, J.: On the Pre-Image Problem in Kernel Methods. In: Kernel Methods in Bioengineering, Signal and Image Processing, pp. 284 - 302 (Eds. Camps-Valls, G.; Rojo-Álvarez, J.; Martínez-Ramón, M.). Idea Group Publishing, Hershey, PA, USA (2007)

Chapelle, O.; Schölkopf, B.; Zien, A.: Analysis of Benchmarks. In: Semi-Supervised Learning, 21, pp. 377 - 393 (Eds. Chapelle, O.; Schölkopf, B.; Zien, A.). MIT Press, Cambridge, MA, USA (2006)

Chapelle, O.; Schölkopf, B.; Zien, A.: A Discussion of Semi-Supervised Learning and Transduction. In: Semi-Supervised Learning, 25, pp. 473 - 478 (Eds. Chapelle, O.; Schölkopf, B.; Zien, A.). MIT Press, Cambridge, MA, USA (2006)

Lal, T.; Chapelle, O.; Schölkopf, B.: Combining a Filter Method with SVMs. In: Feature Extraction: Foundations and Applications, pp. 439 - 446 (Eds. Guyon, I.; Gunn, S.; Nikravesh, M.; Zadeh, L.). Springer, Berlin, Germany (2006)

Zhou, D.; Schölkopf, B.: Discrete Regularization. In: Semi-Supervised Learning, 13, pp. 237 - 250 (Eds. Chapelle, O.; Schölkopf, B.; Zien, A.). MIT Press, Cambridge, MA, USA (2006)

Schölkopf, B.; Smola, A.: Support Vector Machines and Kernel Algorithms. In: Encyclopedia of Biostatistics, Vol. 8, 2. Ed., pp. 5328 - 5335 (Eds. Armitage, P.; Colton, T.). Wiley, Chichester, UK (2005)

Vert, J.; Tsuda, K.; Schölkopf, B.: A Primer on Kernel Methods. In: Kernel methods in computational biology, pp. 35 - 70 (Eds. Schölkopf, B.; Tsuda, K.; Vert, J.). MIT Press, Cambridge, MA, USA (2004)

Navia-Vázquez, A.; Schölkopf, B.: Statistical Learning and Kernel Methods. In: (2003)

Schölkopf, B.; Smola, A.: Support Vector Machines. In: Handbook of Brain Theory and Neural Networks, 2. Ed., pp. 1119 - 1125 (Ed. Arbib, M.). MIT Press, Cambridge, MA, USA (2003)

Smola, A.; Schölkopf, B.: Bayesian Kernel Models. In: (2003)

Müller, K.; Mika, S.; Rätsch, G.; Tsuda, K.; Schölkopf, B.: An Introduction to Kernel-Based Learning Algorithms. In: Handbook of neural network signal processing: Neural network signal processing, 4, pp. 95 - 134 (Eds. Hu, Y.; Hwang, J.-N.; Perry, S.). CRC Press, Boca Raton, FL, USA (2002)

Oliver, N.; Schölkopf, B.; Smola, A.: Natural Regularization from Generative Models. In: Advances in Large Margin Classifiers, pp. 51 - 60 (Eds. Smola, A.; Bartlett, P.; Schölkopf, B.; Schuurmans, D.). MIT Press, Cambridge, MA, USA (2000)

Rätsch, G.; Schölkopf, B.; Mika, S.; Onoda, T.; Smola, A.; Müller, K.-R.: Robust ensemble learning. In: Advances in Large Margin Classifiers, pp. 207 - 220 (Eds. Smola, A.; Bartlett, P.; Schölkopf, B.; Schuurmans, D.). MIT Press, Cambridge, MA, USA (2000)

Smola, A.; Elisseeff, A.; Schölkopf, B.; Williamson, R.: Entropy numbers for convex combinations and MLPs. In: Advances in Large Margin Classifiers, pp. 369 - 387 (Eds. Smola, A.; Bartlett, P.; Schölkopf, B.; Schuurmans, D.). MIT Press, Cambridge, MA, USA (2000)

Schölkopf, B.: Support-Vektor-Lernen. In: Ausgezeichnete Informatikdissertationen 1997, pp. 135 - 150 (Eds. Hotz, G.; Fiedler, H.; Gorny, P.; Grass, W.; Hölldobler, S. et al.). Teubner, Stuttgart, Germany (1998)