Publications of B Schölkopf
All genres
Book Chapter (26)
121.
Book Chapter
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)
122.
Book Chapter
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)
123.
Book Chapter
Müller, K.-R.). MIT Press, Cambridge, MA, USA (2007)
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.; 124.
Book Chapter
Müller, K.-R.). MIT Press, Cambridge, MA, USA (2007)
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.; 125.
Book Chapter
Bakır, G.; Hofmann, T.; Schölkopf, B.; Smola, A.; Taskar, B. et al.). MIT Press, Cambridge, MA, USA (2007)
Joint Kernel Maps. In: Predicting Structured Data, pp. 67 - 84 (Eds. 126.
Book Chapter
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)
127.
Book Chapter
Analysis of Benchmarks. In: Semi-Supervised Learning, 21, pp. 377 - 393 (Eds.
128.
Book Chapter
A Discussion of Semi-Supervised Learning and Transduction. In: Semi-Supervised Learning, 25, pp. 473 - 478 (Eds.
129.
Book Chapter
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)
130.
Book Chapter
Discrete Regularization. In: Semi-Supervised Learning, 13, pp. 237 - 250 (Eds.
131.
Book Chapter
8, 2. Ed., pp. 5328 - 5335 (Eds. Armitage, P.; Colton, T.). Wiley, Chichester, UK (2005)
Support Vector Machines and Kernel Algorithms. In: Encyclopedia of Biostatistics, Vol. 132.
Book Chapter
Schölkopf, B.; Tsuda, K.; Vert, J.). MIT Press, Cambridge, MA, USA (2004)
A Primer on Kernel Methods. In: Kernel methods in computational biology, pp. 35 - 70 (Eds. 133.
Book Chapter
Statistical Learning and Kernel Methods. In: (2003)
134.
Book Chapter
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)
135.
Book Chapter
Bayesian Kernel Models. In: (2003)
136.
Book Chapter
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)
137.
Book Chapter
Smola, A.; Bartlett, P.; Schölkopf, B.; Schuurmans, D.). MIT Press, Cambridge, MA, USA (2000)
Natural Regularization from Generative Models. In: Advances in Large Margin Classifiers, pp. 51 - 60 (Eds. 138.
Book Chapter
Smola, A.; Bartlett, P.; Schölkopf, B.; Schuurmans, D.). MIT Press, Cambridge, MA, USA (2000)
Robust ensemble learning. In: Advances in Large Margin Classifiers, pp. 207 - 220 (Eds. 139.
Book Chapter
Smola, A.; Bartlett, P.; Schölkopf, B.; Schuurmans, D.). MIT Press, Cambridge, MA, USA (2000)
Entropy numbers for convex combinations and MLPs. In: Advances in Large Margin Classifiers, pp. 369 - 387 (Eds. 140.
Book Chapter
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)