Sören Sonnenburg

According to our database1, Sören Sonnenburg authored at least 28 papers between 2001 and 2011.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2011
lp-Norm Multiple Kernel Learning.
Journal of Machine Learning Research, 2011

Hierarchical Multitask Structured Output Learning for Large-scale Sequence Segmentation.
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.
Proceedings of the 2011 IEEE International Workshop on Machine Learning for Signal Processing, 2011

2010
The SHOGUN Machine Learning Toolbox.
Journal of Machine Learning Research, 2010

COFFIN: A Computational Framework for Linear SVMs.
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

2009
mGene.web: a web service for accurate computational gene finding.
Nucleic Acids Research, 2009

Optimized Cutting Plane Algorithm for Large-Scale Risk Minimization.
Journal of Machine Learning Research, 2009

The Feature Importance Ranking Measure.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2009

Efficient and Accurate Lp-Norm Multiple Kernel Learning.
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
Support Vector Machines and Kernels for Computational Biology.
PLoS Computational Biology, 2008

POIMs: positional oligomer importance matrices - understanding support vector machine-based signal detectors.
Proceedings of the Proceedings 16th International Conference on Intelligent Systems for Molecular Biology (ISMB), 2008

Optimized cutting plane algorithm for support vector machines.
Proceedings of the Machine Learning, 2008

Machine Learning for Genomic Sequence Analysis.
Proceedings of the Ausgezeichnete Informatikdissertationen 2008, 2008

2007
Improving the Caenorhabditis elegans Genome Annotation Using Machine Learning.
PLoS Computational Biology, 2007

The Need for Open Source Software in Machine Learning.
Journal of Machine Learning Research, 2007

Accurate splice site prediction using support vector machines.
BMC Bioinformatics, 2007

2006
Large Scale Multiple Kernel Learning.
Journal of Machine Learning Research, 2006

Learning Interpretable SVMs for Biological Sequence Classification.
BMC Bioinformatics, 2006

Computation of Similarity Measures for Sequential Data using Generalized Suffix Trees.
Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Large Scale Hidden Semi-Markov SVMs.
Proceedings of the Advances in Neural Information Processing Systems 19, 2006

ARTS: accurate recognition of transcription starts in human.
Proceedings of the Proceedings 14th International Conference on Intelligent Systems for Molecular Biology 2006, 2006

2005
Classifying 'Drug-likeness' with Kernel-Based Learning Methods.
Journal of Chemical Information and Modeling, 2005

Learning Interpretable SVMs for Biological Sequence Classification.
Proceedings of the Research in Computational Molecular Biology, 2005

A General and Efficient Multiple Kernel Learning Algorithm.
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

RASE: recognition of alternatively spliced exons in C.elegans.
Proceedings of the Proceedings Thirteenth International Conference on Intelligent Systems for Molecular Biology 2005, 2005

Large scale genomic sequence SVM classifiers.
Proceedings of the Machine Learning, 2005

2002
New Methods for Splice Site Recognition.
Proceedings of the Artificial Neural Networks, 2002

2001
A New Discriminative Kernel From Probabilistic Models.
Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001


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