PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

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PASCAL Network

Full NameGunnar Raetsch
TitleGroup Leader
SiteMax Planck Institut für Biologische Kybernetik
StatusTerminated
Tel+49 7071 601 820
Fax+49 7071 601 801
WWWwww.fml.tuebingen.mpg.de/~raetsch

Research Interests
Computational, Information-Theoretic Learning with Statistics
Learning/Statistics & Optimisation
Theory & Algorithms
Publications

Number of records: 41.

A General and Efficient Multiple Kernel Learning Algorithm Sören Sonnenburg, Gunnar Raetsch and Christin Schaefer Conference or Workshop Item (2006)
Accurate Splice Site Detection for Caenorhabditis elegans Gunnar Raetsch and Sören Sonnenburg Book Section Item not available online. (2004)
Accurate Splice Site Prediction Sören Sonnenburg, Gabriele Schweikert, Petra Philips, Jonas Behr and Gunnar Raetsch Article (December 2007)
Accurate Splice Site Prediction Using Support Vector Machines Sören Sonnenburg, Gabriele Schweikert, Petra Philips, Jonas Behr and Gunnar Raetsch Article Item not available online. (May 2007)
ARTS: Accurate Recognition of Transcription Starts in Human Sören Sonnenburg, Alexander Zien and Gunnar Raetsch Article (2006)
Boosting Algorithms for Maximizing the Soft Margin Manfred Warmuth, Karen Glocer and Gunnar Raetsch Conference or Workshop Item Item not available online. (June 2007)
Classifying 'drug-likeness' with kernel-based learning methods Klaus-Robert Müller, Gunnar Raetsch, Sören Sonnenburg, Sebastian Mika, Michael Grimm and Nikolaus Heinrich Article Item not available online. (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 Article Item not available online. (20 July 2007)
Concentration inequalities Stephane Boucheron, Olivier Bousquet and Gábor Lugosi Book Section Item not available online. (2004)
Detecting Polymorphic Regions in the Arabidopsis thaliana Genome with Resequencing Microarrays Georg Zeller, Richard Clark, Korbinian Schneeberger, Detlef Weigel and Gunnar Raetsch Article Item not available online. (06 March 2008)
Exploiting Physico-Chemical Properties in String Kernels Nora C Toussaint, Christian Widmer, Oliver Kohlbacher and Gunnar Raetsch Article (26 October 2010)
Graph Based Semi-Supervised Learning with Sharper Edges HyunJung Shin, Jeremy Hill and Gunnar Raetsch Conference or Workshop Item (2006)
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 Article Item not available online. (February 2007)
Inferring Latent Task Structure for Multi-Task Learning by Multiple Kernel Learning Christian Widmer, Nora C Toussaint, Yasemin Altun and Gunnar Raetsch Conference or Workshop Item (26 October 2010)
Large scale genomic sequence SVM classifiers Sören Sonnenburg, Gunnar Raetsch and Bernhard Schölkopf Conference or Workshop Item (2005)
Large Scale Hidden Semi-Markov SVMs Gunnar Raetsch and Sören Sonnenburg Conference or Workshop Item Item not available online. (2007)
Large scale learning with string kernels Sören Sonnenburg, Gunnar Raetsch and Konrad Rieck Book Section (2007)
Large Scale Multiple Kernel Learning Sören Sonnenburg, Gunnar Raetsch, Christin Schaefer and Bernhard Schölkopf Article (July 2006)
Large scale multiple kernel learning Sören Sonnenburg, Gunnar Raetsch, Christin Schaefer and Bernhard Schölkopf Article Item not available online. (2006)
Large Scale Semi Hidden Markov SVMs Gunnar Raetsch and Sören Sonnenburg Conference or Workshop Item (June 2006)
Learning interpretable SVMs for biological sequence classification Gunnar Raetsch and Sören Sonnenburg Article Item not available online. (2005)
Learning Interpretable SVMs for Biological Sequence Classification Gunnar Raetsch, Sören Sonnenburg and Christin Schaefer Article (March 2006)
Learning interpretable SVMs for biological sequence classification Sören Sonnenburg, Gunnar Raetsch and Christin Schaefer Conference or Workshop Item (2005)
Leveraging Sequence Classification by Taxonomy-based Multitask Learning Christian Widmer, Jose Miguel Leiva-Murillo, Yasemin Altun and Gunnar Raetsch Conference or Workshop Item (19 February 2010)
Leveraging Sequence Classification by Taxonomy-based Multitask Learning Christian Widmer, Jose Leiva-Murillo, Yasemin Altun and Gunnar Raetsch Conference or Workshop Item Item not available online. (12 December 2009)
Matrix Exponentiated Gradient Updates for On-line Learning and Bregman Projection Koji Tsuda, Gunnar Raetsch and Manfred Warmuth Article Item not available online. (June 2005)
Matrix Exponentiated Gradient Updates for On-line Learning and Bregman Projection Koji Tsuda, Gunnar Raetsch and Manfred Warmuth Conference or Workshop Item (03 June 2004)
mGene: A Novel Discriminative Gene Finding System Gabriele Schweikert, Georg Zeller, Alexander Zien, Jonas Behr, Cheng Soon Ong, Petra Philips, Anja Bohlen, Sören Sonnenburg and Gunnar Raetsch Article Item not available online. (2009)
Novel Machine Learning Methods for MHC Class I Binding Prediction Christian Widmer, Nora C Toussaint, Yasemin Altun, Oliver Kohlbacher and Gunnar Raetsch Conference or Workshop Item Item availablity restricted. (22 September 2010)
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 Article Item not available online. (30 May 2007)
PALMA: Perfect Alignments using Large Margin Algorithms Gunnar Raetsch, Bettina Hepp, Uta Schulze and Cheng Soon Ong Conference or Workshop Item (September 2006)
Positional Oligomer Importance Matrices Alexander Zien, Sören Sonnenburg, Petra Philips and Gunnar Raetsch Conference or Workshop Item Item not available online. (08 December 2007)
RASE: recognition of alternatively spliced exons in c. elegans Gunnar Raetsch, Sören Sonnenburg and Bernhard Schölkopf Conference or Workshop Item Item not available online. (2005)
Scalable Hierarchical Multitask Learning in Sequence Biology Christian Widmer, Jose Leiva-Murillo, Yasemin Altun and Gunnar Raetsch Conference or Workshop Item (11 December 2009)
Statistical Learning Theory Olivier Bousquet, Stephane Boucheron and Gábor Lugosi Book Section Item not available online. (2004)
The Feature Importance Ranking Measure Alexander Zien, Nicole Krämer, Sören Sonnenburg and Gunnar Raetsch Conference or Workshop Item (2009)
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 Article (June 2007)
The Need for Open Source Software in Machine Learning Sören Sonnenburg, Mikio Braun, Cheng Soon Ong, Samy Bengio, Leon Bottou, Geoffrey Holmes, Yann LeCun, Klaus-Robert Müller, Fernando Pereira, Carl Edward Rasmussen, Gunnar Raetsch, Bernhard Schölkopf, Alex Smola, Pascal Vincent, Jason Weston and Robert Williamson Article (September 2007)
The SHOGUN Machine Learning Toolbox Sören Sonnenburg, Gunnar Raetsch, Sebastian Henschel, Christian Widmer, Jonas Behr, Alexander Zien, Fabio De Bona, Alexander Binder, Christian Gehl and Vojtech Franc Article (June 2010)
Towards the Inference of Graphs on Ordered Vertices Alexander Zien, Gunnar Raetsch and Cheng Soon Ong Other (07 August 2006)
Transcript Normalization and Segmentation of Tiling Array Data Georg Zeller, Stefan Henz, Sascha Laubinger, Detlef Weigel and Gunnar Raetsch Conference or Workshop Item Item not available online. (04 January 2008)

This list was generated on Wed Sep 17 19:34:12 BST 2014.