Publikationen von G Rätsch

Zien, A.; Krämer, N.; Sonnenburg, S.; Rätsch, G.: The Feature Importance Ranking Measure. In: Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2009, Bled, Slovenia, September 7-11, 2009, Proceedings, Part II, S. 694 - 709 (Hg. Buntine, W.; Grobelnik, M.; Mladenić, D.; Shawe-Taylor, J.). 16th European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2009), Bled, Slovenia, 07. September 2009 - 11. September 2009. Springer, Berlin, Germany (2009)

Schultheiss, S.; Busch, W.; Lohmann, J.; Kohlbacher, O.; Rätsch, G.: KIRMES: Kernel-based Identification of Regulatory Modules in Euchromatic Sequences. In: German Conference on Bioinformatics: GCB 2008, S. 158 - 167 (Hg. Beyer, A.; Schroeder, M.). German Conference on Bioinformatics 2008 (GCB 2008), Dresden, Germany, 09. September 2008 - 12. September 2008. Gesellschaft für Informatik, Bonn, Germany (2008)

Warmuth, M.; Glocer, A.; Rätsch, G.: Boosting Algorithms for Maximizing the Soft Margin. In: Advances in Neural Information Processing Systems 20: 21st Annual Conference on Neural Information Processing Systems 2007, S. 1264 - 1271 (Hg. Platt, C.; Koller, D.; Singer, Y.; Roweis, S.). Twenty-First Annual Conference on Neural Information Processing Systems (NIPS 2007), Vancouver, BC, Canada, 03. Dezember 2007 - 06. Dezember 2007. Curran, Red Hook, NY, USA (2008)

Sonnenburg, S.; Zien, A.; Philips, P.; Rätsch, G.: POIMs: positional oligomer importance matrices: understanding support vector machine-based signal detectors. 16th Annual International Conference Intelligent Systems for Molecular Biology (ISMB 2008), Toronto, Canada, 19. Juli 2008 - 23. Juli 2008. Bioinformatics 24 (13), S. i6 - i14 (2008)

Zeller, G.; Henz, S.; Laubinger, S.; Weigel, D.; Rätsch, G.: Transcript normalization and segmentation of tiling array data. In: Pacific Symposium on Biocomputing (PSB 2008), S. 527 - 538. Pacific Symposium on Biocomputing (PSB 2008), Fairmont Orchid, HI, USA, 04. Januar 2008 - 08. Januar 2008. (2008)

Chechik, G.; Leslie, C.; Noble, W.; Rätsch, G.; Morris, Q.; Tsuda, K.: Machine Learning in Computational Biology. In: NIPS 2007 Workshop: Machine Learning in Computational Biology (MLCB 2007), S. 22 - 23. NIPS 2007 Workshop: Machine Learning in Computational Biology (MLCB 2007), Whistler, Canada, 07. Dezember 2007 - 08. Dezember 2007. (2007)

Sonnenburg, S.; Schweikert, G.; Philips, P.; Behr, J.; Rätsch, G.: Accurate Splice site Prediction Using Support Vector Machines. NIPS 2006 Workshop on New Problems and Methods in Computational Biology, Whistler, Canada, 08. Dezember 2006. BMC Bioinformatics 8 (Supplement 10), S7, (2007)

Rätsch, G.; Sonnenburg, S.: Large Scale Hidden Semi-Markov SVMs. In: Advances in Neural Information Processing Systems 19, S. 1161 - 1168 (Hg. Schölkopf, B.; Platt, J.; Hoffman, T.). Twentieth Annual Conference on Neural Information Processing Systems (NIPS 2006), Vancouver, BC, Canada, 04. Dezember 2006 - 07. Dezember 2006. MIT Press, Cambridge, MA, USA (2007)

Ong, C.; Hartmann, L.; Bohnert, R.; Krüger , N.; Bohlen, A.; Rätsch, G.: Bootstrapping the alternative splicing annotation of newly sequenced genomes. In: Alternative Splicing: Special Interest Group Meeting (AS-SIG) at ISMB 2007, S. 33 - 35. Alternative Splicing: Special Interest Group Meeting (AS-SIG) at ISMB 2007, Wien, Austria, 19. Juli 2007 - 20. Juli 2007. (2007)

Rätsch, G.; Hepp, B.; Schulze, U.; Ong, C.: PALMA: Perfect Alignments using Large Margin Algorithms. In: German Conference on Bioinformatics 2006 (GCB 2006), S. 104 - 113 (Hg. Huson, D.; Kohlbacher, O.; Lupas, A.; Nieselt, K.; Zell, A.). German Conference on Bioinformatics (GCB 2006), Tübingen, Germany, 19. September 2006 - 22. September 2006. Gesellschaft für Informatik, Bonn, Germany (2006)

Shin, H.; Hill, N.; Rätsch, G.; Rätsch, G.: Graph Based Semi-Supervised Learning with Sharper Edges. In: Machine Learning: ECML 2006: 17th European Conference on Machine Learning Berlin, Germany, September 18-22, 2006, S. 401 - 412 (Hg. Fürnkranz, J.; Scheffer, T.; Spiliopoulou, M.). 17th European Conference on Machine Learning (ECML 2006), Berlin, Germany, 18. September 2006 - 22. September 2006. Springer, Berlin, Germany (2006)

Sonnenburg, S.; Zien, A.; Rätsch, G.: ARTS: Accurate Recognition of Transcription Starts in Human. 14th International Conference on Intelligent Systems for Molecular Biology (ISMB 2006), Fortaleza, Brazil, 06. August 2006 - 10. August 2006. Bioinformatics 22 (14), H-56, S. e472 - e480 (2006)

Warmuth, N.; Liao, J.; Rätsch, G.: Totally Corrective Boosting Algorithms that Maximize the Margin. In: ICML '06: Proceedings of the 23rd International Conference on Machine Learning, S. 1001 - 1008 (Hg. Cohen, W.; Moore, A.). 23rd International Conference on Machine Learning (ICML 2006), Pittsburgh, PA, USA, 25. Juni 2006 - 29. Juni 2006. Association for Computing Machinery, New York, NY, USA (2006)

Sonnenburg, S.; Rätsch, G.; Schäfer, C.: A General and Efficient Multiple Kernel Learning Algorithm. In: Advances in Neural Information Processing Systems 18, Bd. 18, S. 1273 - 1280 (Hg. Saul, L.; Schölkopf, B.; Platt, J.). Nineteenth Annual Conference on Neural Information Processing Systems (NIPS 2005), Vancouver, BC, Canada, 05. Dezember 2005 - 08. Dezember 2005. MIT Press, Cambridge, MA, USA (2006)

Rätsch, G.; Sonnenburg, S.; Schäfer, C.: Learning interpretable SVMs for biological sequence classification. NIPS Workshop on New Problems and Methods in Computational Biology, Whistler, Canada, 08. Dezember 2004. BMC Bioinformatics 7 (Supplement 1), S9, (2006)

Rätsch, G.: The Solution of Semi-Infinite Linear Programs Using Boosting-Like Methods. In: Discovery Science: 9th International Conference, DS 2006, Barcelona, Spain, October 7-10, 2006, S. 15 (Hg. Todorovsky, L.; Lavrač , N.; Jantke, K.). International Conference on Discovery Science (DS 2006), Barcelona, Spain, 06. Oktober 2006 - 10. Oktober 2006. Springer, Berlin, Germany (2006)

Rätsch, G.: Solving Semi-infinite Linear Programs Using Boosting-Like Methods. In: Algorithmic Learning Theory: 17th International Conference, ALT 2006, Barcelona, Spain, October 7-10, 2006, S. 10 - 11 (Hg. Balcázar, J.; Long, P.; Stephan, F.). 17th International Conference on Algorithmic Learning Theory (ALT 2006), Barcelona, Spain, 07. Oktober 2006 - 10. Oktober 2006. Springer, Berlin, Germany (2006)

Sonnenburg, S.; Rätsch, G.; Schölkopf, B.: Large Scale Genomic Sequence SVM Classifiers. In: ICML '05: the 22nd international conference on Machine learning, S. 848 - 855 (Hg. Dzeroski, S.; de Raedt, L.; Wrobel, S.). 22nd International Conference on Machine Learning (ICML 2005), Bonn, Germany, 07. August 2005 - 11. August 2005. ACM Press, New York, NY, USA (2005)

Rätsch, G.; Sonnenburg, S.; Schölkopf, B.: RASE: recognition of alternatively spliced exons in C.elegans. Thirteenth International Conference on Intelligent Systems for Molecular Biology (ISBM 2005), Detroit, MI, USA, 25. Juni 2005 - 29. Juni 2005. Bioinformatics 21 (Supplement 1), S. i369 - i377 (2005)

Sonnenburg, S.; Rätsch, G.; Schäfer, C.: Learning interpretable SVMs for biological sequence classification. In: Research in Computational Molecular Biology: 9th Annual International Conference, RECOMB 2005, Cambridge, MA, USA, May 14-18, 2005, S. 389 - 407 (Hg. Miyano, S.; Mesirov, J.; Kasif, S.; Istrail, S.; Pevzner, P. et al.). 9th Annual International Conference on Research in Computational Molecular Biology (RECOMB 2005), Cambridge, MA, USA, 14. Mai 2005 - 18. Mai 2005. Springer, Berlin, Germany (2005)