2008 |
14 | EE | Vojtech Franc,
Sören Sonnenburg:
Optimized cutting plane algorithm for support vector machines.
ICML 2008: 320-327 |
13 | EE | Sören Sonnenburg,
Alexander Zien,
Petra Philips,
Gunnar Rätsch:
POIMs: positional oligomer importance matrices - understanding support vector machine-based signal detectors.
ISMB 2008: 6-14 |
2006 |
12 | EE | Sören Sonnenburg,
Alexander Zien,
Gunnar Rätsch:
ARTS: accurate recognition of transcription starts in human.
ISMB (Supplement of Bioinformatics) 2006: 472-480 |
11 | EE | Gunnar Rätsch,
Sören Sonnenburg:
Large Scale Hidden Semi-Markov SVMs.
NIPS 2006: 1161-1168 |
10 | EE | Konrad Rieck,
Pavel Laskov,
Sören Sonnenburg:
Computation of Similarity Measures for Sequential Data using Generalized Suffix Trees.
NIPS 2006: 1177-1184 |
9 | EE | Sören Sonnenburg,
Gunnar Rätsch,
Christin Schäfer,
Bernhard Schölkopf:
Large Scale Multiple Kernel Learning.
Journal of Machine Learning Research 7: 1531-1565 (2006) |
2005 |
8 | EE | Sören Sonnenburg,
Gunnar Rätsch,
Bernhard Schölkopf:
Large scale genomic sequence SVM classifiers.
ICML 2005: 848-855 |
7 | EE | Gunnar Rätsch,
Sören Sonnenburg,
Bernhard Schölkopf:
RASE: recognition of alternatively spliced exons in C.elegans.
ISMB (Supplement of Bioinformatics) 2005: 369-377 |
6 | EE | Sören Sonnenburg,
Gunnar Rätsch,
Christin Schäfer:
A General and Efficient Multiple Kernel Learning Algorithm.
NIPS 2005 |
5 | EE | Sören Sonnenburg,
Gunnar Rätsch,
Christin Schäfer:
Learning Interpretable SVMs for Biological Sequence Classification.
RECOMB 2005: 389-407 |
4 | EE | 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) |
2002 |
3 | EE | Sören Sonnenburg,
Gunnar Rätsch,
Arun K. Jagota,
Klaus-Robert Müller:
New Methods for Splice Site Recognition.
ICANN 2002: 329-336 |
2 | EE | 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) |
2001 |
1 | EE | Koji Tsuda,
Motoaki Kawanabe,
Gunnar Rätsch,
Sören Sonnenburg,
Klaus-Robert Müller:
A New Discriminative Kernel From Probabilistic Models.
NIPS 2001: 977-984 |