Publikationen von S Sonnenburg
Alle Typen
Konferenzbeitrag (14)
21.
Konferenzbeitrag
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)
Large Scale Hidden Semi-Markov SVMs. In: Advances in Neural Information Processing Systems 19, S. 1161 - 1168 (Hg. 22.
Konferenzbeitrag
22 (14), H-56, S. e472 - e480 (2006)
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 23.
Konferenzbeitrag
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)
A General and Efficient Multiple Kernel Learning Algorithm. In: Advances in Neural Information Processing Systems 18, Bd. 24.
Konferenzbeitrag
7 (Supplement 1), S9, (2006)
Learning interpretable SVMs for biological sequence classification. NIPS Workshop on New Problems and Methods in Computational Biology, Whistler, Canada, 08. Dezember 2004. BMC Bioinformatics 25.
Konferenzbeitrag
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)
26.
Konferenzbeitrag
21 (Supplement 1), S. i369 - i377 (2005)
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 27.
Konferenzbeitrag
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)
Meeting Abstract (5)
28.
Meeting Abstract
SHOGUN: A Large Scale Machine Learning Toolbox. In The R User Conference 2010, useR! 2010, S. 154. International R User Conference (useR! 2010), Gaithersburg, MD, USA, 21. Juli 2010 - 23. Juli 2010. (2010)
29.
Meeting Abstract
Support Vector Machines and Kernels for Computational Biology. In 17th Annual International Conference on Intelligent Systems for Molecular Biology and 8th European Conference on Computational Biology (ISMB/ECCB 2009), AM3. 17th Annual International Conference on Intelligent Systems for Molecular Biology and 8th European Conference on Computational Biology (ISMB/ECCB 2009), Stockholm, Sweden, 27. Juni 2009 - 02. Juli 2009. (2009)
30.
Meeting Abstract
mGene: A Novel Discriminative Gene Finding System. In 4th ISCB Student Council Symposium at the 16th Annual International Conference Intelligent Systems for Molecular Biology (ISMB 2008), S. 20. 4th ISCB Student Council Symposium at the 16th Annual International Conference Intelligent Systems for Molecular Biology (ISMB 2008), Toronto, Canada, 19. Juli 2008 - 23. Juli 2008. (2008)
31.
Meeting Abstract
mGene: A Novel Discriminative Ab-initio Gene Finding System. In Automated Function Prediction: Biosapiens Joint Special Interest Group Meeting, S. 36 - 37. Automated Function Prediction: Biosapiens Joint Special Interest Group Meeting, Wien, Austria, 19. Juli 2007 - 20. Juli 2007. (2007)
32.
Meeting Abstract
SHOGUN: A Large Scale Machine Learning Toolbox. In 2nd International R User Conference: useR! 2006, S. 155. 2nd International R User Conference: useR! 2006, Wien, Austria, 15. Juni 2006 - 17. Juni 2006. (2006)
Vortrag (8)
33.
Vortrag
Maschinelles Lernen zur Genom-Sequenzanalyse: Machine Learning for Genomic Sequence Analysis. GI-Symposium, Dagstuhl, Germany (2009)
34.
Vortrag
Bioinformatics (Past, Current and Future Projects). IDA Retreat (2009)
35.
Vortrag
Large Scale Machine Learning for Genomic Sequence Analysis (Support Vector Machine Based Signal Detectors). Eberhard-Karls-Universität, Tübingen, Germany (2009)
36.
Vortrag
Accurate and Interpretable Large Scale Genomic Signal Detection (Support Vector Machine Based Signal Detectors). Max-Planck-Institut für Molekulare Genetik, Berlin, Germany (2009)
37.
Vortrag
Large Scale Learning with String Kernels. NIPS 2007 Workshop on Efficient Machine Learning, Whistler, BC, Canada (2007)
38.
Vortrag
Positional Oligomer Importance Matrices. NIPS 2007 Workshop on Machine Learning in Computational Biology (MLCB 2007), Whistler, BC, Canada (2007)
39.
Vortrag
Ab-initio gene finding using machine learning. NIPS 2006 Workshop on New Problems and Methods in Computational Biology (MLCB 2006), Vancouver, BC, Canada (2006)
40.
Vortrag
Accurate prediction of alternative splicing events. NIPS Workshop on Computational Biology and the Analysis of Heterogeneous Data (MLCB 2005), Whistler, BC, Canada (2005)