Talks by Gunnar Rätsch

[Home] - [2003] - [2002] - [2001] - [2000] - [1999] - [1998] - [1997]

2003 (Top)

[1]
G. Rätsch. Introduction to boosting, February 2003. four hour lecture at the machine learning summer school in Canberra.
1 references, last updated Thu Feb 27 21:09:18 2003

2002 (Top)

[1]
G. Rätsch, A. Smola, and S. Mika. Adapting codes and embeddings for polychotomies, December 2002. full talk at NIPS'02.
[2]
G. Rätsch and M.K. Warmuth. Online learning and bregman divergencies, February 2002. six hour lecture at the machine learning summer school in Canberra.
[3]
G. Rätsch. Robust boosting via convex optimization, June 2002. presentation at the GI seminar `best dissertations'.
[4]
G. Rätsch and M.K. Warmuth. Maximizing the margin with boosting, July 2002. presentation at COLT'02.
[5]
G. Rätsch, M.K. Warmuth, et al. Active learning in the drug discovery process, March 2002. talk at the GENOME institute Singapore, the Genome Research Center Tokyo and Max-Planck-Institute in Tuebingen.
5 references, last updated Thu Feb 27 21:09:18 2003

2001 (Top)

[1]
K.-R. Müller and G. Rätsch. Introduction to svms and boosting, September 2001. six hour lecture at the HNSM Statistics Workshop.
1 references, last updated Thu Feb 27 21:09:17 2003

2000 (Top)

[1]
G. Rätsch, M. Warmuth, S. Mika, T. Onoda, S. Lemm, and K.-R. Müller. Barrier boosting. Slides of my talk at COLT'00 in Stanford., June 2000.
[2]
G. Rätsch, S. Mika, T. Onoda, M. Warmuth, S. Lemm, and K.-R. Müller. Regularized boosting for classification and regression. Slides of my talk at the CRM Workshop in Montreal., April 2000. (PostScript) (PDF)
2 references, last updated Thu Feb 27 21:09:17 2003

1999 (Top)

[1]
G. Rätsch, B. Schölkopf, T. Onoda, A. Smola, S. Mika, and K.-R. Müller. Noise robust boosting. Slides of my talk at ANU, August 1999. (PostScript)
[2]
S. Mika, G. Rätsch, J. Weston, B. Schölkopf, and K.-R. Müller. Fisher discriminant analysis with kernel, August 1999.
2 references, last updated Thu Feb 27 21:09:17 2003

1998 (Top)

[1]
G. Rätsch, K.-R. Müller, T. Onoda, B. Schölkopf, and A. Smola. Soft margins for adaboost: Adaboost_reg and nu -adaboost. Slides of my talk at NIPS'98 Workshop in Large Margin Classifiers, December 1998. (PostScript)
1 references, last updated Thu Feb 27 21:09:17 2003

1997 (Top)

0 references, last updated Thu Feb 27 21:09:17 2003


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This page was last revised on April 30, 2000.
0 references, last updated Tue Nov 14 20:10:51 2000