Search results

Journal Article (22)

21.
Journal Article
Schölkopf, B.; Smola, A.; Müller, K.-R.: Nonlinear Component Analysis as a Kernel Eigenvalue Problem. Neural computation 10 (5), pp. 1299 - 1319 (1998)
22.
Journal Article
Smola, A.; Schölkopf, B.; Müller, K.-R.: The connection between regularization operators and support vector kernels. Neural networks 11 (4), pp. 637 - 649 (1998)

Book (1)

23.
Book
Lee, S.-W.; Bülthoff, H.; Müller, K.-R. (Eds.): Recent Progress in Brain and Cognitive Engineering. Springer, Dordrecht, The Netherlands (2015), 213 pp.

Book Chapter (2)

24.
Book Chapter
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)
25.
Book Chapter
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)

Conference Paper (27)

26.
Conference Paper
Biessmann, F.; Murayama, Y.; Logothetis, N.; Müller, K.-R.; Meinecke, F.: Non-separable Spatiotemporal Brain Hemodynamics Contain Neural Information. In: Machine Learning and Interpretation in Neuroimaging, pp. 140 - 147 (Eds. Langs, G.; Rish, I.; Murphy, B.). NIPS Workshop on Machine Learning and Interpretation in Neuroimaging (MLINI 2011), Sierra Nevada, Spain, December 16, 2011 - December 17, 2011. Springer, Berlin, Germany (2012)
27.
Conference Paper
Laub, J.; Macke, J.; Müller, K.-R.; Wichmann, F.: Inducing Metric Violations in Human Similarity Judgements. In: Advances in Neural Information Processing Systems 19, pp. 777 - 784 (Eds. Schölkopf, B.; Platt, J.; Hoffman, T.). Twentieth Annual Conference on Neural Information Processing Systems (NIPS 2006), Vancouver, BC, Canada. MIT Press, Cambridge, MA, USA (2007)
28.
Conference Paper
Meinecke, F.; Harmeling, S.; Müller, K.-R.: Robust ICA for Super-Gaussian Sources. In: Independent Component Analysis and Blind Signal Separation: Fifth International Conference, ICA 2004, Granada, Spain, September 22-24, 2004, pp. 217 - 224 (Eds. Puntonet, C.; Prieto, A.). Fifth International Conference on Independent Component Analysis and Blind Signal Separation (ICA 2004), Granada, Spain, September 22, 2004 - September 24, 2004. Springer, Berlin, Germany (2004)
29.
Conference Paper
Tsuda, K.; Kawanabe, M.; Müller, K.-R.: Clustering with the Fisher score. In: Advances in Neural Information Processing Systems 15, pp. 729 - 736 (Eds. Becker, S.; Thrun, S.; Obermayer, K.). Sixteenth Annual Conference on Neural Information Processing Systems (NIPS 2002), Vancouver, BC, Canada, December 09, 2002 - December 14, 2002. MIT Press, Cambridge, MA, USA (2003)
30.
Conference Paper
Harmeling, S.; Meinecke, F.; Müller, K.-R.: Analysing ICA component by injection noise. In: Fourth International Symposium on Independent Component Analysis and Blind Signal Separation (ICA 2003), pp. 149 - 154 (Eds. Amari, S.-I.; Cichocki, A.; Makino, S.; Murata, N.). Fourth International Symposium on Independent Component Analysis and Blind Signal Separation (ICA 2003), Nara, Japan, April 01, 2003 - April 04, 2003. (2003)
31.
Conference Paper
Ziehe, A.; Kawanabe, M.; Harmeling, S.; Müller, K.-R.: Blind separation of post-nonlinear mixtures using gaussianizing transformations and temporal decorrelation. In: Fourth International Symposium on Independent Component Analysis and Blind Signal Separation (ICA 2003), pp. 269 - 274 (Eds. Amari, S.-I.; Cichocki, A.; Makino, S.; Murata, N.). Fourth International Symposium on Independent Component Analysis and Blind Signal Separation (ICA 2003), Nara, Japan, April 01, 2003 - April 04, 2003. (2003)
32.
Conference Paper
Harmeling, S.; Ziehe, A.; Kawanabe, M.; Müller, K.-R.: Kernel feature spaces and nonlinear blind source separation. In: Advances in Neural Information Processing Systems 14, pp. 761 - 768 (Eds. Dietterich, T.; Becker, S.; Ghahramani, Z.). Fifteenth Annual Neural Information Processing Systems Conference (NIPS 2001), Vancouver, BC, Canada, December 03, 2001 - December 08, 2001. MIT Press, Cambridge, MA, USA (2002)
33.
Conference Paper
Harmeling, S.; Ziehe, A.; Kawanabe, M.; Blankertz, B.; Müller, K.-R.: Nonlinear blind source separation using kernel feature spaces. In: Third International Conference on Independent Component Analysis and Blind Signal Separation (ICA 2001), pp. 102 - 107 (Eds. Lee, T.-W.; Jung, T.; Makeig, S.; Sejnowski, T.). Third International Conference on Independent Component Analysis and Blind Signal Separation (ICA 2001), San Diego, CA, USA, December 09, 2001 - December 12, 2001. (2001)
34.
Conference Paper
Ziehe, A.; Kawanabe , M.; Harmeling, S.; Müller, K.-R.: Separation of post-nonlinear mixtures using ACE and temporal decorrelation. In: Third International Workshop on Independent Component Analysis and Blind Signal Separation (ICA 2001), pp. 433 - 438 (Eds. Lee, T.-W.; Jung, T.; Makeig, S.; Sejnowski, T.). Third International Workshop on Independent Component Analysis and Blind Signal Separation (ICA 2001), San Diego, CA, USA, December 09, 2001 - December 13, 2001. (2001)
35.
Conference Paper
Zien, A.; Rätsch, G.; Mika, S.; Schölkopf, B.; Lemmen, C.; Smola, A.; Lengauer, T.; Müller, K.-R.: Engineering Support Vector Machine Kernels That Recognize Translation Initiation Sites. German Conference on Bioinformatics (GCB 1999), Hannover, Germany, October 04, 1999 - October 06, 1999. Bioinformatics 16 (9), pp. 799 - 807 (2000)
36.
Conference Paper
Rätsch, G.; Warmuth, M.; Mika, S.; Onoda, T.; Lemm, S.; Müller, K.-R.: Barrier Boosting. In: Thirteenth Annual Conference on Computational Learning Theory (COLT 2000), pp. 170 - 179 (Eds. Cesa-Bianchi , N.; Goldman, S.). Thirteenth Annual Conference on Computational Learning Theory (COLT 2000), Palo Alto, CA, USA, June 28, 2000 - July 01, 2000. Morgan Kaufmann, San Francisco, CA, USA (2000)
37.
Conference Paper
Rätsch, G.; Schölkopf, B.; Smola, A.; Müller, K.-R.; Mika, S.: v-Arc: Ensemble Learning in the Presence of Outliers. In: Advances in Neural Information Processing Systems 12, pp. 561 - 567 (Eds. Solla, S.; Leen, T.; Müller, K.). Thirteenth Annual Neural Information Processing Systems Conference (NIPS 1999), Denver, CO, USA, November 29, 2000 - December 04, 2000. MIT Press, Cambridge, MA, USA (2000)
38.
Conference Paper
Rätsch, G.; Schölkopf, B.; Smola, A.; Mika, S.; Onoda, T.; Müller, K.-R.: Robust Ensemble Learning for Data Mining. In: Knowledge Discovery and Data Mining. Current Issues and New Applications: 4th Pacific-Asia Conference, PAKDD 2000, Kyoto, Japan, April 18–20, 2000, pp. 341 - 344 (Eds. Terano, T.; Liu, H.; Chen, A.). Fourth Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2000), Kyoto, Japan, April 18, 2000 - April 20, 2000. Springer, Berlin, Germany (2000)
39.
Conference Paper
Mika, S.; Rätsch, G.; Weston, J.; Schölkopf, B.; Müller, K.-R.: Fisher discriminant analysis with kernels. In: Neural Networks for Signal Processing IX: Proceedings of the 1999 IEEE Signal Processing Society Workshop, pp. 41 - 48. 1999 IEEE Signal Processing Society Workshop, Madison, WI, USA, August 25, 1999. IEEE, Piscataway, NJ, USA (1999)
40.
Conference Paper
Mika, S.; Schölkopf, B.; Smola, A.; Müller, K.; Scholz, M.; Rätsch, G.: Kernel PCA and De-noising in feature spaces. Twelfth Annual Conference on Neural Information Processing Systems (NIPS 1998), Denver, CO, USA, November 30, 1998 - December 05, 1998. Advances in Neural Information Processing Systems 11, pp. 536 - 542 (1999)
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