Publikationen von G Rätsch

Müller, K.; Mika, S.; Rätsch, G.; Tsuda, K.; Schölkopf, B.: An Introduction to Kernel-Based Learning Algorithms. In: Handbook of neural network signal processing: Neural network signal processing, 4, S. 95 - 134 (Hg. Hu, Y.; Hwang, J.-N.; Perry, S.). CRC Press, Boca Raton, FL, USA (2002)

Rätsch, G.; Schölkopf, B.; Mika, S.; Onoda, T.; Smola, A.; Müller, K.-R.: Robust ensemble learning. In: Advances in Large Margin Classifiers, S. 207 - 220 (Hg. Smola, A.; Bartlett, P.; Schölkopf, B.; Schuurmans, D.). MIT Press, Cambridge, MA, USA (2000)

Chechik, G.; Leslie, C.; Noble, W.; Rätsch, G.; Morris, Q.; Tsuda, K. (Hg.): NIPS workshop on New Problems and Methods in Computational Biology (BMC Bioinformatics, 8). NIPS Workshop on New Problems and Methods in Computational Biology 2006, Whistler, Canada, 08. Dezember 2006. (2007)

Machine Learning in Computational Biology. NIPS 2007 Workshop: Machine Learning in Computational Biology (MLCB 2007), Whistler, Canada, 07. Dezember 2007 - 08. Dezember 2007. (2007)

Chechik, G.; Leslie, C.; Rätsch, G. (Hg.): NIPS Workshop on New Problems and Methods in Computational Biology (BMC Bioinformatics, 7). NIPS Workshop on New Problems and Methods in Computational Biology 2004, Whistler, Canada, 08. Dezember 2004. (2006)

Bousquet, O.; von Luxburg, U.; Rätsch, G. (Hg.): Advanced Lectures on Machine Learning: ML Summer Schools 2003, Canberra, Australia, February 2 - 14, 2003, Tübingen, Germany, August 4 - 16, 2003 (Lecture Notes in Computer Science, 3176). Machine Learning Summer School (MLSS 2003), Canberra, Australia, 02. Februar 2004 - 14. Februar 2004. Springer, Berlin, Germany (2004), 240 S.

Widmer, C.; Toussaint, N.; Altun, Y.; Rätsch, G.: Multitask Multiple Kernel Learning (MT-MKL). In: NIPS 2010 Workshop: New Directions in Multiple Kernel Learning. NIPS 2010 Workshop: New Directions in Multiple Kernel Learning, Vancouver, Canada, 11. Dezember 2010. (2010)

Widmer, C.; Toussaint, N.; Altun, Y.; Rätsch, G.: Inferring latent task structure for Multitask Learning by Multiple Kernel Learning. NIPS Workshop on Machine Learning in Computational Biology (MLCB 2019), Whistler, BC, Canada, 10. Dezember 2009 - 11. Dezember 2009. BMC Bioinformatics 11 (Supplement 8), S5, (2010)

Widmer, C.; Toussaint, N.; Altun, Y.; Kohlbacher, O.; Rätsch, G.: Novel Machine Learning Methods for MHC Class I Binding Prediction. In: PRIB 2010: Pattern Recognition in Bioinformatics, S. 98 - 109 (Hg. Dijkstra, T.; Tsivtsivadze, E.; Marchiori, E.; Heskes, T.). 5th IAPR International Conference on Pattern Recognition in Bioinformatics (PRIB 2010), Nijmegen, The Netherlands, 22. September 2010 - 24. September 2010. Springer, Berlin, Germany (2010)

Widmer, C.; Leiva, J.; Altun, Y.; Rätsch, G.: Leveraging Sequence Classification by Taxonomy-Based Multitask Learning. In: RECOMB 2010: Research in Computational Molecular Biology, S. 522 - 534 (Hg. Berger, B.). 14th International Conference on Research in Computational Molecular Biology (RECOMB 2010), Lisboa, Portugal, 25. April 2010 - 28. April 2010. Springer, Berlin, Germany (2010)

Schweikert, G.; Widmer, C.; Schölkopf, B.; Rätsch, G.: An Empirical Analysis of Domain Adaptation Algorithms for Genomic Sequence Analysis. In: Advances in neural information processing systems 21, S. 1433 - 1440 (Hg. Koller, D.; Schuurmans, D.; Bengio, Y.; Bottou, L.). Twenty-Second Annual Conference on Neural Information Processing Systems (NIPS 2008), Vancouver, BC, Canada, 08. Dezember 2008 - 10. Dezember 2008. Curran, Red Hook, NY, USA (2009)

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)

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), S. 1 - 16 (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.: 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)

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)

Tsuda, K.; Rätsch, G.; Warmuth, M.: Matrix Exponential Gradient Updates for On-line Learning and Bregman Projection. In: Advances in Neural Information Processing Systems 17, S. 1425 - 1432 (Hg. Saul, L.; Weiss, Y.; Bottou, L.). Eighteenth Annual Conference on Neural Information Processing Systems (NIPS 2004), Vancouver, BC, Canada, 13. Dezember 2004 - 16. Dezember 2004. MIT Press, Cambridge, MA, 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)