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Sören Sonnenburg: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

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]


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