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Sören Sonnenburg
2010 – today
- 2011
[j12]Marius Kloft, Ulf Brefeld, Sören Sonnenburg, Alexander Zien: lp-Norm Multiple Kernel Learning. Journal of Machine Learning Research 12: 953-997 (2011)- [c16]Nico Görnitz, Christian Widmer, Georg Zeller, Andre Kahles, Sören Sonnenburg, Gunnar Rätsch: Hierarchical Multitask Structured Output Learning for Large-scale Sequence Segmentation. NIPS 2011: 2690-2698
- 2010
- [j11]Sören Sonnenburg, Gunnar Rätsch, Sebastian Henschel, Christian Widmer, Jonas Behr, Alexander Zien, Fabio De Bona, Alexander Binder, Christian Gehl, Vojtech Franc: The SHOGUN Machine Learning Toolbox. Journal of Machine Learning Research 11: 1799-1802 (2010)
- [c15]Sören Sonnenburg, Vojtech Franc: COFFIN: A Computational Framework for Linear SVMs. ICML 2010: 999-1006
- [i1]Marius Kloft, Ulf Brefeld, Sören Sonnenburg, Alexander Zien: Non-Sparse Regularization and Efficient Training with Multiple Kernels. CoRR abs/1003.0079 (2010)
2000 – 2009
- 2009
- [j10]Vojtech Franc, Sören Sonnenburg: Optimized Cutting Plane Algorithm for Large-Scale Risk Minimization. Journal of Machine Learning Research 10: 2157-2192 (2009)
- [j9]Gabriele Schweikert, Jonas Behr, Alexander Zien, Georg Zeller, Cheng Soon Ong, Sören Sonnenburg, Gunnar Rätsch: mGene.web: a web service for accurate computational gene finding. Nucleic Acids Research 37(Web-Server-Issue): 312-316 (2009)
- [c14]Marius Kloft, Ulf Brefeld, Sören Sonnenburg, Pavel Laskov, Klaus-Robert Müller, Alexander Zien: Efficient and Accurate Lp-Norm Multiple Kernel Learning. NIPS 2009: 997-1005
- [c13]Alexander Zien, Nicole Krämer, Sören Sonnenburg, Gunnar Rätsch: The Feature Importance Ranking Measure. ECML/PKDD (2) 2009: 694-709
- 2008
- [b1]Sören Sonnenburg: Machine learning for genomic sequence analysis. Berlin Institute of Technology 2008
- [j8]Asa Ben-Hur, Cheng Soon Ong, Sören Sonnenburg, Bernhard Schölkopf, Gunnar Rätsch: Support Vector Machines and Kernels for Computational Biology. PLoS Computational Biology 4(10) (2008)
- [c12]Sören Sonnenburg: Machine Learning for Genomic Sequence Analysis. Ausgezeichnete Informatikdissertationen 2008: 281-290
- [c11]Vojtech Franc, Sören Sonnenburg: Optimized cutting plane algorithm for support vector machines. ICML 2008: 320-327
- [c10]Sören Sonnenburg, Alexander Zien, Petra Philips, Gunnar Rätsch: POIMs: positional oligomer importance matrices - understanding support vector machine-based signal detectors. ISMB 2008: 6-14
- 2007
- [j7]Sören Sonnenburg, Gabriele Schweikert, Petra Philips, Jonas Behr, Gunnar Rätsch: Accurate splice site prediction using support vector machines. BMC Bioinformatics 8(S-10) (2007)
- [j6]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: The Need for Open Source Software in Machine Learning. Journal of Machine Learning Research 8: 2443-2466 (2007)
- [j5]Gunnar Rätsch, Sören Sonnenburg, Jagan Srinivasan, Hanh Witte, Klaus-Robert Müller, Ralf J. Sommer, Bernhard Schölkopf: Improving the Caenorhabditis elegans Genome Annotation Using Machine Learning. PLoS Computational Biology 3(2) (2007)
- 2006
- [j4]Gunnar Rätsch, Sören Sonnenburg, Christin Schäfer: Learning Interpretable SVMs for Biological Sequence Classification. BMC Bioinformatics 7(S-1) (2006)
- [j3]Sören Sonnenburg, Gunnar Rätsch, Christin Schäfer, Bernhard Schölkopf: Large Scale Multiple Kernel Learning. Journal of Machine Learning Research 7: 1531-1565 (2006)
- [c9]Sören Sonnenburg, Alexander Zien, Gunnar Rätsch: ARTS: accurate recognition of transcription starts in human. ISMB (Supplement of Bioinformatics) 2006: 472-480
- [c8]
- [c7]Konrad Rieck, Pavel Laskov, Sören Sonnenburg: Computation of Similarity Measures for Sequential Data using Generalized Suffix Trees. NIPS 2006: 1177-1184
- 2005
- [j2]Klaus-Robert Müller, Gunnar Rätsch, Sören Sonnenburg, Sebastian Mika, Michael Grimm, Nikolaus Heinrich: Classifying 'Drug-likeness' with Kernel-Based Learning Methods. Journal of Chemical Information and Modeling 45(2): 249-253 (2005)
- [c6]Sören Sonnenburg, Gunnar Rätsch, Bernhard Schölkopf: Large scale genomic sequence SVM classifiers. ICML 2005: 848-855
- [c5]Gunnar Rätsch, Sören Sonnenburg, Bernhard Schölkopf: RASE: recognition of alternatively spliced exons in C.elegans. ISMB (Supplement of Bioinformatics) 2005: 369-377
- [c4]Sören Sonnenburg, Gunnar Rätsch, Christin Schäfer: A General and Efficient Multiple Kernel Learning Algorithm. NIPS 2005
- [c3]Sören Sonnenburg, Gunnar Rätsch, Christin Schäfer: Learning Interpretable SVMs for Biological Sequence Classification. RECOMB 2005: 389-407
- 2002
- [j1]Koji Tsuda, Motoaki Kawanabe, Gunnar Rätsch, Sören Sonnenburg, Klaus-Robert Müller: A New Discriminative Kernel from Probabilistic Models. Neural Computation 14(10): 2397-2414 (2002)
- [c2]Sören Sonnenburg, Gunnar Rätsch, Arun K. Jagota, Klaus-Robert Müller: New Methods for Splice Site Recognition. ICANN 2002: 329-336
- 2001
- [c1]Koji Tsuda, Motoaki Kawanabe, Gunnar Rätsch, Sören Sonnenburg, Klaus-Robert Müller: A New Discriminative Kernel From Probabilistic Models. NIPS 2001: 977-984
Coauthor Index
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last updated on 2012-12-02 21:16 CET by the dblp team