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Publications of Author

1. Sören Sonnenburg, Gunnar Rätsch, Arun K. Jagota, Klaus-Robert Müller
   New Methods for Splice Site Recognition. [Citation Graph (0, 0)][DBLP]
   ICANN, 2002, pp:329-336 [Conf]
   
2. Sören Sonnenburg, Gunnar Rätsch, Bernhard Schölkopf
   Large scale genomic sequence SVM classifiers. [Citation Graph (0, 0)][DBLP]
   ICML, 2005, pp:848-855 [Conf]
   
3. Gunnar Rätsch, Sören Sonnenburg, Bernhard Schölkopf
   RASE: recognition of alternatively spliced exons in C.elegans. [Citation Graph (0, 0)][DBLP]
   ISMB (Supplement of Bioinformatics), 2005, pp:369-377 [Conf]
   
4. Sören Sonnenburg, Alexander Zien, Gunnar Rätsch
   ARTS: accurate recognition of transcription starts in human. [Citation Graph (0, 0)][DBLP]
   ISMB (Supplement of Bioinformatics), 2006, pp:472-480 [Conf]
   
5. Sören Sonnenburg, Gunnar Rätsch, Christin Schäfer
   A General and Efficient Multiple Kernel Learning Algorithm. [Citation Graph (0, 0)][DBLP]
   NIPS, 2005, pp:- [Conf]
   
6. Koji Tsuda, Motoaki Kawanabe, Gunnar Rätsch, Sören Sonnenburg, Klaus-Robert Müller
   A New Discriminative Kernel From Probabilistic Models. [Citation Graph (0, 0)][DBLP]
   NIPS, 2001, pp:977-984 [Conf]
   
7. Sören Sonnenburg, Gunnar Rätsch, Christin Schäfer
   Learning Interpretable SVMs for Biological Sequence Classification. [Citation Graph (0, 0)][DBLP]
   RECOMB, 2005, pp:389-407 [Conf]
   
8. Klaus-Robert Müller, Gunnar Rätsch, Sören Sonnenburg, Sebastian Mika, Michael Grimm, Nikolaus Heinrich
   Classifying 'Drug-likeness' with Kernel-Based Learning Methods. [Citation Graph (0, 0)][DBLP]
   Journal of Chemical Information and Modeling, 2005, v:45, n:2, pp:249-253 [Journal]
   
9. Sören Sonnenburg, Gunnar Rätsch, Christin Schäfer, Bernhard Schölkopf
   Large Scale Multiple Kernel Learning. [Citation Graph (0, 0)][DBLP]
   Journal of Machine Learning Research, 2006, v:7, n:, pp:1531-1565 [Journal]
   
10. Koji Tsuda, Motoaki Kawanabe, Gunnar Rätsch, Sören Sonnenburg, Klaus-Robert Müller
    A New Discriminative Kernel from Probabilistic Models. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2002, v:14, n:10, pp:2397-2414 [Journal]
    
11. Konrad Rieck, Pavel Laskov, Sören Sonnenburg
    Computation of Similarity Measures for Sequential Data using Generalized Suffix Trees. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:1177-1184 [Conf]
    
12. Gunnar Rätsch, Sören Sonnenburg
    Large Scale Hidden Semi-Markov SVMs. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:1161-1168 [Conf]
    
13. 
    Optimized cutting plane algorithm for support vector machines. [Citation Graph (, )][DBLP]
    
    
14. 
    COFFIN: A Computational Framework for Linear SVMs. [Citation Graph (, )][DBLP]
    
    
15. 
    POIMs: positional oligomer importance matrices - understanding support vector machine-based signal detectors. [Citation Graph (, )][DBLP]
    
    
16. 
    The Feature Importance Ranking Measure. [Citation Graph (, )][DBLP]
    
    
17. 
    Accurate splice site prediction using support vector machines. [Citation Graph (, )][DBLP]
    
    
18. 
    Learning Interpretable SVMs for Biological Sequence Classification. [Citation Graph (, )][DBLP]
    
    
19. 
    Non-Sparse Regularization and Efficient Training with Multiple Kernels [Citation Graph (, )][DBLP]