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| 2009 | The Feature Importance Ranking Measure
Zien, A.; Kramer, N.; Sonnenburg, S.; Ratsch, G. | Conference Paper |
| 2009 | mGene: Accurate SVM-based gene finding with an application to nematode genomes
Schweikert, G.; Zien, A.; Zeller, G.; Behr, J.; Dieterich, C.; Ong, C.S.; Philips, P.; De Bona, F.; Hartmann, L.; Bohlen, A.; Kruger, N.; Sonnenburg, S.; Ratsch, G. | Journal Article |
| 2008 | Optimized cutting plane algorithm for support vector machines
Vojtech, F.; Sonnenburg, S. | Conference Paper |
| 2008 | POIMs: Positional oligomer importance matrices - understanding support vector machine-based signal detectors
Sonnenburg, S.; Zien, A.; Philips, P.; Rätsch, G. | Journal Article |
| 2008 | Support vector machines and kernels for computational biology
Ben-Hur, A.; Ong, C.S.; Sonnenburg, S.; Schölkopf, B.; Rätsch, G. | Journal Article |
| 2007 | Accurate splice site prediction using support vector machines
Sonnenburg, S.; Schweikert, G.; Philips, P.; Behr, J.; Rätsch, G. | Journal Article, Conference Paper |
| 2007 | Computation of Similarity Measures for Sequential Data using Generalized Suffix Trees
Rieck, K.; Laskov, P.; Sonnenburg, S. | Conference Paper |
| 2007 | Computing positional oligomer importance matrices (POIMs)
Zien, A.; Philips, P.; Sonnenburg, S. | Technical Report |
| 2007 | Improving the Caenorhabditis elegans genome annotation using machine learning
Rätsch, G.; Sonnenburg, S.; Srinivasan, J.; Witte, H.; Müller, K.-R.; Sommer, R.-J.; Schölkopf, B. | Journal Article |
| 2007 | Large scale hidden semi-Markov SVMs
Rätsch, G.; Sonnenburg, S. | Conference Paper |
| 2007 | Large scale learning with string kernels
Sonnenburg, S.; Rätsch, G.; Rieck, K. | Book Article |
| 2007 | The need for open source software in machine learning
Sonnenburg, S.; Braun, M.L.; Ong, C.S.; Bengio, S.; Bottou, L.; Holmes, G.; LeCun, Y.; Müller, K.-R.; Pereira, F.; Rasmussen, C.E.; Rätsch, G.; Schölkopf, B.; Smola, A.; Vincent, P.; Weston, J.; Williamson, R.C. | Journal Article |
| 2007 | Optimized cutting plane algorithm for support vector machines
Franc, V.; Sonnenburg, S. | Research Report |
| 2006 | ARTS: Accurate Recognition of Transcription Starts in Human
Sonnenburg, S.; Zien, A.; Rätsch, G. | Journal Article |
| 2006 | A general and efficient multiple kernel learning algorithm
Sonnenburg, S.; Rätsch, G.; Schäfer, C. | Conference Paper |
| 2006 | Large scale multiple kernel learning
Sonnenburg, S.; Rätsch, G.; Schäfer, C.; Schölkopf, B. | Journal Article |
| 2006 | Learning interpretable SVMs for biological sequence classification
Rätsch, G.; Sonnenburg, S.; Schäfer, C. | Journal Article, Conference Paper |
| 2005 | Classifying 'drug-likeness' with kernel-based learning methods
Müller, K.-R.; Rätsch, G.; Sonnenburg, S.; Mika, S.; Grimm, M.; Heinrich, N. | Journal Article |
| 2005 | Large scale genomic sequence SVM classifiers
Sonnenburg, S.; Rätsch, G.; Schölkopf, B. | Conference Paper |
| 2005 | Learning interpretable SVMs for biological sequence classification
Sonnenburg, S.; Rätsch, G.; Schäfer, C. | Conference Paper |
| 2005 | RASE: Recognition of alternatively spliced exons in C.elegans
Rätsch, G.; Sonnenburg, S.; Schölkopf, B. | Conference Paper, Journal Article |
| 2004 | Accurate splice site detection for caenorhabditis elegans
Rätsch, G.; Sonnenburg, S. | Conference Paper |
| 2002 | A new discriminative kernel from probabilistic models
Tsuda, K.; Kawanabe, M.; Rätsch, G.; Sonnenburg, S.; Müller, K.-R. | Journal Article |
| 2002 | New methods for splice site recognition
Sonnenburg, S.; Rätsch, G.; Jagota, A.K.; Müller, K.-R. | Conference Paper |