Publikationen von G Rätsch

Zeitschriftenartikel (22)

21.
Zeitschriftenartikel
Müller, K.-R.; Mika, S.; Rätsch, G.; Tsuda, K.; Schölkopf, B.: An Introduction to Kernel-Based Learning Algorithms. IEEE Transactions on Neural Networks 12 (2), S. 181 - 201 (2001)
22.
Zeitschriftenartikel
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), S. 1000 - 1017 (1999)

Buchkapitel (2)

23.
Buchkapitel
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)
24.
Buchkapitel
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)

Konferenzband (4)

25.
Konferenzband
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)
26.
Konferenzband
Machine Learning in Computational Biology. NIPS 2007 Workshop: Machine Learning in Computational Biology (MLCB 2007), Whistler, Canada, 07. Dezember 2007 - 08. Dezember 2007. (2007)
27.
Konferenzband
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)
28.
Konferenzband
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.

Konferenzbeitrag (31)

29.
Konferenzbeitrag
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, S. 633 - 647 (Hg. 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, 24. September 2012 - 28. September 2012. Springer, Berlin, Germany (2012)
30.
Konferenzbeitrag
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)
31.
Konferenzbeitrag
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)
32.
Konferenzbeitrag
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)
33.
Konferenzbeitrag
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)
34.
Konferenzbeitrag
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)
35.
Konferenzbeitrag
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)
36.
Konferenzbeitrag
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)
37.
Konferenzbeitrag
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)
38.
Konferenzbeitrag
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)
39.
Konferenzbeitrag
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)
40.
Konferenzbeitrag
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)
Zur Redakteursansicht