Sören Sonnenburg

According to our database, Sören Sonnenburg authored at least 29 papers between 2002 and 2011.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2011

<i>l_p</i>-Norm Multiple Kernel Learning.

Marius Kloft, Ulf Brefeld, Sören Sonnenburg, Alexander Zien

J. Mach. Learn. Res., 2011

Hierarchical Multitask Structured Output Learning for Large-scale Sequence Segmentation.

Nico Görnitz, Christian Widmer, Georg Zeller, André Kahles, Sören Sonnenburg, Gunnar Rätsch

Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

A new scatter-based multi-class support vector machine.

Robert Jenssen, Marius Kloft, Sören Sonnenburg, Alexander Zien, Klaus-Robert Müller

Proceedings of the 2011 IEEE International Workshop on Machine Learning for Signal Processing, 2011

2010

The SHOGUN Machine Learning Toolbox.

Sören Sonnenburg, Gunnar Rätsch, Sebastian Henschel, Christian Widmer, Jonas Behr, Alexander Zien, Fabio De Bona, Alexander Binder, Christian Gehl, Vojtech Franc

J. Mach. Learn. Res., 2010

Non-Sparse Regularization and Efficient Training with Multiple Kernels

Marius Kloft, Ulf Brefeld, Sören Sonnenburg, Alexander Zien

CoRR, 2010

COFFIN: A Computational Framework for Linear SVMs.

Sören Sonnenburg, Vojtech Franc

Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

2009

<i>mGene.web</i>: a web service for accurate computational gene finding.

Gabriele Beate Schweikert, Jonas Behr, Alexander Zien, Georg Zeller, Cheng Soon Ong, Sören Sonnenburg, Gunnar Rätsch

Nucleic Acids Res., 2009

Optimized Cutting Plane Algorithm for Large-Scale Risk Minimization.

Vojtech Franc, Sören Sonnenburg

J. Mach. Learn. Res., 2009

The Feature Importance Ranking Measure.

Alexander Zien, Nicole Krämer, Sören Sonnenburg, Gunnar Rätsch

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2009

Efficient and Accurate Lp-Norm Multiple Kernel Learning.

Marius Kloft, Ulf Brefeld, Sören Sonnenburg, Pavel Laskov, Klaus-Robert Müller, Alexander Zien

Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

2008

Machine learning for genomic sequence analysis.

Sören Sonnenburg

PhD thesis, 2008

Support Vector Machines and Kernels for Computational Biology.

Asa Ben-Hur, Cheng Soon Ong, Sören Sonnenburg, Bernhard Schölkopf, Gunnar Rätsch

PLoS Comput. Biol., 2008

POIMs: positional oligomer importance matrices - understanding support vector machine-based signal detectors.

Sören Sonnenburg, Alexander Zien, Petra Philips, Gunnar Rätsch

Proceedings of the Proceedings 16th International Conference on Intelligent Systems for Molecular Biology (ISMB), 2008

Optimized cutting plane algorithm for support vector machines.

Vojtech Franc, Sören Sonnenburg

Proceedings of the Machine Learning, 2008

Maschinelles Lernen zur Genom-Sequenzanalyse [Machine Learning for Genomic Sequence Analysis].

Sören Sonnenburg

Proceedings of the Ausgezeichnete Informatikdissertationen 2008, 2008

2007

Improving the <i>Caenorhabditis elegans</i> Genome Annotation Using Machine Learning.

Gunnar Rätsch, Sören Sonnenburg, Jagan Srinivasan, Hanh Witte, Klaus-Robert Müller, Ralf J. Sommer, Bernhard Schölkopf

PLoS Comput. Biol., 2007

The Need for Open Source Software in Machine Learning.

Sören Sonnenburg, Mikio L. Braun, Cheng Soon Ong, Samy Bengio, Léon Bottou, Geoffrey Holmes, Yann LeCun, Klaus-Robert Müller, Fernando Pereira, Carl Edward Rasmussen, Gunnar Rätsch, Bernhard Schölkopf, Alexander J. Smola, Pascal Vincent, Jason Weston, Robert C. Williamson

J. Mach. Learn. Res., 2007

Accurate splice site prediction using support vector machines.

Sören Sonnenburg, Gabriele Beate Schweikert, Petra Philips, Jonas Behr, Gunnar Rätsch

BMC Bioinform., 2007

2006

Large Scale Multiple Kernel Learning.

Sören Sonnenburg, Gunnar Rätsch, Christin Schäfer, Bernhard Schölkopf

J. Mach. Learn. Res., 2006

Learning Interpretable SVMs for Biological Sequence Classification.

Gunnar Rätsch, Sören Sonnenburg, Christin Schäfer

BMC Bioinform., 2006

Computation of Similarity Measures for Sequential Data using Generalized Suffix Trees.

Konrad Rieck, Pavel Laskov, Sören Sonnenburg

Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Large Scale Hidden Semi-Markov SVMs.

Gunnar Rätsch, Sören Sonnenburg

Proceedings of the Advances in Neural Information Processing Systems 19, 2006

ARTS: accurate recognition of transcription starts in human.

Sören Sonnenburg, Alexander Zien, Gunnar Rätsch

Proceedings of the Proceedings 14th International Conference on Intelligent Systems for Molecular Biology 2006, 2006

2005

Classifying 'Drug-likeness' with Kernel-Based Learning Methods.

Klaus-Robert Müller, Gunnar Rätsch, Sören Sonnenburg, Sebastian Mika, Michael Grimm, Nikolaus Heinrich

J. Chem. Inf. Model., 2005

A General and Efficient Multiple Kernel Learning Algorithm.

Sören Sonnenburg, Gunnar Rätsch, Christin Schäfer

Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

RASE: recognition of alternatively spliced exons in <i>C.elegans</i>.

Gunnar Rätsch, Sören Sonnenburg, Bernhard Schölkopf

Proceedings of the Proceedings Thirteenth International Conference on Intelligent Systems for Molecular Biology 2005, 2005

Large scale genomic sequence SVM classifiers.

Sören Sonnenburg, Gunnar Rätsch, Bernhard Schölkopf

Proceedings of the Machine Learning, 2005

2002

A New Discriminative Kernel from Probabilistic Models.

Koji Tsuda, Motoaki Kawanabe, Gunnar Rätsch, Sören Sonnenburg, Klaus-Robert Müller

Neural Comput., 2002

New Methods for Splice Site Recognition.

Sören Sonnenburg, Gunnar Rätsch, Arun K. Jagota, Klaus-Robert Müller

Proceedings of the Artificial Neural Networks, 2002