Publications of G Rätsch

Journal Article (21)

21.
Journal Article
Schölkopf, B.; Mika, S.; Burges, C.; Knirsch, P.; Müller, K.-R.; Rätsch, G.; Smola, A.: Input space versus feature space in kernel-based methods. IEEE Transactions on Neural Networks 10 (5), pp. 1000 - 1017 (1999)

Book Chapter (2)

22.
Book Chapter
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, pp. 95 - 134 (Eds. Hu, Y.; Hwang, J.-N.; Perry, S.). CRC Press, Boca Raton, FL, USA (2002)
23.
Book Chapter
Rätsch, G.; Schölkopf, B.; Mika, S.; Onoda, T.; Smola, A.; Müller, K.-R.: Robust ensemble learning. In: Advances in Large Margin Classifiers, pp. 207 - 220 (Eds. Smola, A.; Bartlett, P.; Schölkopf, B.; Schuurmans, D.). MIT Press, Cambridge, MA, USA (2000)

Proceedings (4)

24.
Proceedings
Chechik, G.; Leslie, C.; Noble, W.; Rätsch, G.; Morris, Q.; Tsuda, K. (Eds.): 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, December 08, 2006. (2007)
25.
Proceedings
Machine Learning in Computational Biology. NIPS 2007 Workshop: Machine Learning in Computational Biology (MLCB 2007), Whistler, Canada, December 07, 2007 - December 08, 2007. (2007)
26.
Proceedings
Chechik, G.; Leslie, C.; Rätsch, G. (Eds.): 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, December 08, 2004. (2006)
27.
Proceedings
Bousquet, O.; von Luxburg, U.; Rätsch, G. (Eds.): 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, February 02, 2004 - February 14, 2004. Springer, Berlin, Germany (2004), 240 pp.

Conference Paper (31)

28.
Conference Paper
Widmer, C.; Kloft, M.; Görnitz, N.; Rätsch, G.: Efficient Training of Graph-Regularized Multitask SVMs. In: Machine Learning and Knowledge Discovery in Databases European Conference, ECML PKDD 2012, pp. 633 - 647 (Eds. Flach, P.; De Bie, T.; Cristianini, N.). European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2012), Bristol, UK, September 24, 2012 - September 28, 2012. Springer, Berlin, Germany (2012)
29.
Conference Paper
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, December 10, 2009 - December 11, 2009. BMC Bioinformatics 11 (Supplement 8), S5, (2010)
30.
Conference Paper
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, pp. 98 - 109 (Eds. Dijkstra, T.; Tsivtsivadze, E.; Marchiori, E.; Heskes, T.). 5th IAPR International Conference on Pattern Recognition in Bioinformatics (PRIB 2010), Nijmegen, The Netherlands, September 22, 2010 - September 24, 2010. Springer, Berlin, Germany (2010)
31.
Conference Paper
Widmer, C.; Leiva, J.; Altun, Y.; Rätsch, G.: Leveraging Sequence Classification by Taxonomy-Based Multitask Learning. In: RECOMB 2010: Research in Computational Molecular Biology, pp. 522 - 534 (Ed. Berger, B.). 14th International Conference on Research in Computational Molecular Biology (RECOMB 2010), Lisboa, Portugal, April 25, 2010 - April 28, 2010. Springer, Berlin, Germany (2010)
32.
Conference Paper
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, pp. 1433 - 1440 (Eds. Koller, D.; Schuurmans, D.; Bengio, Y.; Bottou, L.). Twenty-Second Annual Conference on Neural Information Processing Systems (NIPS 2008), Vancouver, BC, Canada, December 08, 2008 - December 10, 2008. Curran, Red Hook, NY, USA (2009)
33.
Conference Paper
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, July 19, 2008 - July 23, 2008. Bioinformatics 24 (13), pp. i6 - i14 (2008)
34.
Conference Paper
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, December 08, 2006. BMC Bioinformatics 8 (Supplement 10), pp. 1 - 16 (2007)
35.
Conference Paper
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, pp. 33 - 35. Alternative Splicing: Special Interest Group Meeting (AS-SIG) at ISMB 2007, Wien, Austria, July 19, 2007 - July 20, 2007. (2007)
36.
Conference Paper
Rätsch, G.; Hepp , B.; Schulze , U.; Ong, C.: PALMA: Perfect Alignments using Large Margin Algorithms. In: German Conference on Bioinformatics 2006 (GCB 2006), pp. 104 - 113 (Eds. Huson, D.; Kohlbacher, O.; Lupas, A.; Nieselt, K.; Zell, A.). German Conference on Bioinformatics (GCB 2006), Tübingen, Germany, September 19, 2006 - September 22, 2006. Gesellschaft für Informatik, Bonn, Germany (2006)
37.
Conference Paper
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, pp. 401 - 412 (Eds. Fürnkranz, J.; Scheffer, T.; Spiliopoulou, M.). 17th European Conference on Machine Learning (ECML 2006), Berlin, Germany, September 18, 2006 - September 22, 2006. Springer, Berlin, Germany (2006)
38.
Conference Paper
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, August 06, 2006 - August 10, 2006. Bioinformatics 22 (14), H-56, pp. e472 - e480 (2006)
39.
Conference Paper
Sonnenburg, S.; Rätsch, G.; Schölkopf, B.: Large Scale Genomic Sequence SVM Classifiers. In: ICML '05: the 22nd international conference on Machine learning, pp. 848 - 855 (Eds. Dzeroski, S.; de Raedt, L.; Wrobel, S.). 22nd International Conference on Machine Learning (ICML 2005), Bonn, Germany, August 07, 2005 - August 11, 2005. ACM Press, New York, NY, USA (2005)
40.
Conference Paper
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, pp. 1425 - 1432 (Eds. Saul, L.; Weiss, Y.; Bottou, L.). Eighteenth Annual Conference on Neural Information Processing Systems (NIPS 2004), Vancouver, BC, Canada, December 13, 2004 - December 16, 2004. MIT Press, Cambridge, MA, USA (2005)
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