PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

EPrints submitted by Gunnar Raetsch

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Number of EPrints submitted by this user: 13

Matrix Exponentiated Gradient Updates for On-line Learning and Bregman Projection
Koji Tsuda, Gunnar Raetsch and Manfred Warmuth
JMLR Volume 6, pp. 995-1018, 2005.

Common Sequence Polymorphisms Shaping Genetic Diversity in Arabidopsis thaliana
R Clark, Gabriele Schweikert, C Toomajian, S Ossowski, G Zeller, P Shinn, N Warthmann, T Hu, G Fu, D Hinds, K Frazer, D Huson, Bernhard Schölkopf, M Nordborg, Gunnar Raetsch, J Ecker and D Weigel
Science Volume 317, Number 5836, pp. 338-342, 2007.

Improving the C. elegans genome annotation using machine learning
Gunnar Raetsch, Sören Sonnenburg, J Srinivasan, H Witte, Klaus-Robert Müller, R Sommer and Bernhard Schölkopf
PLoS Computational Biology Volume 3, Number 2, e20, 2007.

Large Scale Hidden Semi-Markov SVMs
Gunnar Raetsch and Sören Sonnenburg
In: NIPS 2006, Vancouver(2007).

PALMA: mRNA to Genome Alignments using Large Margin Algorithms Schulze, U, Hepp, B, Ong, C, and Rätsch, G
U Schulze, B Hepp, Cheng Soon Ong and Gunnar Raetsch
Bioinformatics 2007.

Learning interpretable SVMs for biological sequence classification
Gunnar Raetsch and Sören Sonnenburg
BMC Bioinformatics Volume 7, Number S1, S9, 2005.

Large scale multiple kernel learning
Sören Sonnenburg, Gunnar Raetsch, Christin Schaefer and Bernhard Schölkopf
Journal of Machine Learning Research Volume 7, pp. 1531-1565, 2006.

Large Scale Semi Hidden Markov SVMs
Gunnar Raetsch and Sören Sonnenburg
In: NIPS 2006, 3 - 9 Dec 2006, Vancouver, CA.

Transcript Normalization and Segmentation of Tiling Array Data
Georg Zeller, Stefan Henz, Sascha Laubinger, Detlef Weigel and Gunnar Raetsch
In: PSB 2008, 4-8 Jan 2008, Hawaii, USA.

The Need for Open Source Software in Machine Learning
Sören Sonnenburg, Mikio Braun, Cheng Soon Ong, Samy Bengio, Leon Bottou, Geoff Holmes, Yann Lecun, Klaus-Robert Müller, Gunnar Raetsch, Bernhard Schölkopf, Jason Weston and Bob Williamson
Journal of Machine Learning Research Volume 8, pp. 2443-2466, 2007.

Boosting Algorithms for Maximizing the Soft Margin
Manfred Warmuth, Karen Glocer and Gunnar Raetsch
In: NIPS 2007, 4-8 Dec 2007.

Accurate Splice Site Prediction Using Support Vector Machines
Sören Sonnenburg, Gabriele Schweikert, Petra Philips, Jonas Behr and Gunnar Raetsch
BMC Bioinformatics Volume 8, 2007.

Detecting Polymorphic Regions in the Arabidopsis thaliana Genome with Resequencing Microarrays
Georg Zeller, Richard Clark, Korbinian Schneeberger, Detlef Weigel and Gunnar Raetsch
Genome Research 2008.