Publikationen von B Schölkopf
Alle Typen
Buchkapitel (26)
121.
Buchkapitel
An introduction to kernel learning algorithms. In: Kernel Methods for Remote Sensing Data Analysis, S. 25 - 48 (Hg. Camps-Valls, G.; Bruzzone, L.). Wiley, New York, NY, USA (2009)
122.
Buchkapitel
Covariate Shift by Kernel Mean Matching. In: Dataset Shift in Machine Learning, 8, S. 131 - 160 (Hg. Quiñonero-Candela, J.; Sugiyama, M.; Schwaighofer, A.; Lawrence, N.). MIT Press, Cambridge, MA, USA (2009)
123.
Buchkapitel
Müller, K.-R.). MIT Press, Cambridge, MA, USA (2007)
Classifying Event-Related Desynchronization in EEG, ECoG and MEG signals. In: Toward Brain-Computer Interfacing, S. 235 - 260 (Hg. Dornhege, G.; Millán , J.; Hinterberger, T.; McFarland, J.; 124.
Buchkapitel
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, S. 43 - 64 (Hg. Dornhege, G.; Millán , J.; Hinterberger, T.; McFarland, D.; 125.
Buchkapitel
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, S. 67 - 84 (Hg. 126.
Buchkapitel
On the Pre-Image Problem in Kernel Methods. In: Kernel Methods in Bioengineering, Signal and Image Processing, S. 284 - 302 (Hg. Camps-Valls, G.; Rojo-Álvarez, J.; Martínez-Ramón, M.). Idea Group Publishing, Hershey, PA, USA (2007)
127.
Buchkapitel
Analysis of Benchmarks. In: Semi-Supervised Learning, 21, S. 377 - 393 (Hg.
128.
Buchkapitel
A Discussion of Semi-Supervised Learning and Transduction. In: Semi-Supervised Learning, 25, S. 473 - 478 (Hg.
129.
Buchkapitel
Combining a Filter Method with SVMs. In: Feature Extraction: Foundations and Applications, S. 439 - 446 (Hg. Guyon, I.; Gunn, S.; Nikravesh, M.; Zadeh, L.). Springer, Berlin, Germany (2006)
130.
Buchkapitel
Discrete Regularization. In: Semi-Supervised Learning, 13, S. 237 - 250 (Hg.
131.
Buchkapitel
8, 2. Aufl., S. 5328 - 5335 (Hg. Armitage, P.; Colton, T.). Wiley, Chichester, UK (2005)
Support Vector Machines and Kernel Algorithms. In: Encyclopedia of Biostatistics, Bd. 132.
Buchkapitel
Schölkopf, B.; Tsuda, K.; Vert, J.). MIT Press, Cambridge, MA, USA (2004)
A Primer on Kernel Methods. In: Kernel methods in computational biology, S. 35 - 70 (Hg. 133.
Buchkapitel
Statistical Learning and Kernel Methods. In: (2003)
134.
Buchkapitel
Support Vector Machines. In: Handbook of Brain Theory and Neural Networks, 2. Aufl., S. 1119 - 1125 (Hg. Arbib, M.). MIT Press, Cambridge, MA, USA (2003)
135.
Buchkapitel
Bayesian Kernel Models. In: (2003)
136.
Buchkapitel
An Introduction to Kernel-Based Learning Algorithms. In: Handbook of neural network signal processing: Neural network signal processing, 4, S. 95 - 134 (Hg. Hu, Y.; Hwang, J.-N.; Perry, S.). CRC Press, Boca Raton, FL, USA (2002)
137.
Buchkapitel
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, S. 51 - 60 (Hg. 138.
Buchkapitel
Smola, A.; Bartlett, P.; Schölkopf, B.; Schuurmans, D.). MIT Press, Cambridge, MA, USA (2000)
Robust ensemble learning. In: Advances in Large Margin Classifiers, S. 207 - 220 (Hg. 139.
Buchkapitel
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, S. 369 - 387 (Hg. 140.
Buchkapitel
Support-Vektor-Lernen. In: Ausgezeichnete Informatikdissertationen 1997, S. 135 - 150 (Hg. Hotz, G.; Fiedler, H.; Gorny, P.; Grass, W.; Hölldobler, S. et al.). Teubner, Stuttgart, Germany (1998)