Sören Sonnenburg

	2011
26		Marius Kloft, Ulf Brefeld, Sören Sonnenburg, Alexander Zien: lp-Norm Multiple Kernel Learning. Journal of Machine Learning Research 12: 953-997 (2011)
	2010
25		Sören Sonnenburg, Vojtech Franc: COFFIN: A Computational Framework for Linear SVMs. ICML 2010: 999-1006
24		Marius Kloft, Ulf Brefeld, Sören Sonnenburg, Alexander Zien: Non-Sparse Regularization and Efficient Training with Multiple Kernels CoRR abs/1003.0079: (2010)
23		Sören Sonnenburg, Gunnar Rätsch, Sebastian Henschel, Christian Widmer, Jonas Behr, Alexander Zien, Fabio De Bona, Alexander Binder, Christian Gehl, Vojtech Franc: The SHOGUN Machine Learning Toolbox. Journal of Machine Learning Research 11: 1799-1802 (2010)
	2009
22		Alexander Zien, Nicole Krämer, Sören Sonnenburg, Gunnar Rätsch: The Feature Importance Ranking Measure. ECML/PKDD (2) 2009: 694-709
21		Marius Kloft, Ulf Brefeld, Sören Sonnenburg, Pavel Laskov, Klaus-Robert Müller, Alexander Zien: Efficient and Accurate Lp-Norm Multiple Kernel Learning. NIPS 2009: 997-1005
20		Vojtech Franc, Sören Sonnenburg: Optimized Cutting Plane Algorithm for Large-Scale Risk Minimization. Journal of Machine Learning Research 10: 2157-2192 (2009)
19		Gabriele Schweikert, Jonas Behr, Alexander Zien, Georg Zeller, Cheng Soon Ong, Sören Sonnenburg, Gunnar Rätsch: mGene.web: a web service for accurate computational gene finding. Nucleic Acids Research 37(Web-Server-Issue): 312-316 (2009)
	2008
18		Sören Sonnenburg: Machine Learning for Genomic Sequence Analysis. Ausgezeichnete Informatikdissertationen 2008: 281-290
17		Vojtech Franc, Sören Sonnenburg: Optimized cutting plane algorithm for support vector machines. ICML 2008: 320-327
16		Sören Sonnenburg, Alexander Zien, Petra Philips, Gunnar Rätsch: POIMs: positional oligomer importance matrices - understanding support vector machine-based signal detectors. ISMB 2008: 6-14
	2007
15		Sören Sonnenburg, Gabriele Schweikert, Petra Philips, Jonas Behr, Gunnar Rätsch: Accurate splice site prediction using support vector machines. BMC Bioinformatics 8(S-10): (2007)
14		Sören Sonnenburg, Mikio L. Braun, Cheng Soon Ong, Samy Bengio, Léon Bottou, Geoffrey Holmes, Yann LeCun, Klaus-Robert Müller, Fernando Pereira, Carl Edward Rasmussen, Gunnar Rätsch, Bernhard Schölkopf, Alexander J. Smola, Pascal Vincent, Jason Weston, Robert C. Williamson: The Need for Open Source Software in Machine Learning. Journal of Machine Learning Research 8: 2443-2466 (2007)
	2006
13		Sören Sonnenburg, Alexander Zien, Gunnar Rätsch: ARTS: accurate recognition of transcription starts in human. ISMB (Supplement of Bioinformatics) 2006: 472-480
12		Gunnar Rätsch, Sören Sonnenburg: Large Scale Hidden Semi-Markov SVMs. NIPS 2006: 1161-1168
11		Konrad Rieck, Pavel Laskov, Sören Sonnenburg: Computation of Similarity Measures for Sequential Data using Generalized Suffix Trees. NIPS 2006: 1177-1184
10		Gunnar Rätsch, Sören Sonnenburg, Christin Schäfer: Learning Interpretable SVMs for Biological Sequence Classification. BMC Bioinformatics 7(S-1): (2006)
9		Sören Sonnenburg, Gunnar Rätsch, Christin Schäfer, Bernhard Schölkopf: Large Scale Multiple Kernel Learning. Journal of Machine Learning Research 7: 1531-1565 (2006)
	2005
8		Sören Sonnenburg, Gunnar Rätsch, Bernhard Schölkopf: Large scale genomic sequence SVM classifiers. ICML 2005: 848-855
7		Gunnar Rätsch, Sören Sonnenburg, Bernhard Schölkopf: RASE: recognition of alternatively spliced exons in C.elegans. ISMB (Supplement of Bioinformatics) 2005: 369-377
6		Sören Sonnenburg, Gunnar Rätsch, Christin Schäfer: A General and Efficient Multiple Kernel Learning Algorithm. NIPS 2005
5		Sören Sonnenburg, Gunnar Rätsch, Christin Schäfer: Learning Interpretable SVMs for Biological Sequence Classification. RECOMB 2005: 389-407
4		Klaus-Robert Müller, Gunnar Rätsch, Sören Sonnenburg, Sebastian Mika, Michael Grimm, Nikolaus Heinrich: Classifying 'Drug-likeness' with Kernel-Based Learning Methods. Journal of Chemical Information and Modeling 45(2): 249-253 (2005)
	2002
3		Sören Sonnenburg, Gunnar Rätsch, Arun K. Jagota, Klaus-Robert Müller: New Methods for Splice Site Recognition. ICANN 2002: 329-336
2		Koji Tsuda, Motoaki Kawanabe, Gunnar Rätsch, Sören Sonnenburg, Klaus-Robert Müller: A New Discriminative Kernel from Probabilistic Models. Neural Computation 14(10): 2397-2414 (2002)
	2001
1		Koji Tsuda, Motoaki Kawanabe, Gunnar Rätsch, Sören Sonnenburg, Klaus-Robert Müller: A New Discriminative Kernel From Probabilistic Models. NIPS 2001: 977-984

Coauthor Index

1	Jonas Behr	[15] [19] [23]
2	Samy Bengio	[14]
3	Alexander Binder	[23]
4	Fabio De Bona	[23]
5	Léon Bottou	[14]
6	Mikio L. Braun	[14]
7	Ulf Brefeld	[21] [24] [26]
8	Vojtech Franc	[17] [20] [23] [25]
9	Christian Gehl	[23]
10	Michael Grimm	[4]
11	Nikolaus Heinrich	[4]
12	Sebastian Henschel	[23]
13	Geoffrey Holmes (Geoff Holmes)	[14]
14	Arun K. Jagota	[3]
15	Motoaki Kawanabe	[1] [2]
16	Marius Kloft	[21] [24] [26]
17	Nicole Krämer	[22]
18	Pavel Laskov	[11] [21]
19	Yann LeCun	[14]
20	Sebastian Mika	[4]
21	Klaus-Robert Müller	[1] [2] [3] [4] [14] [21]
22	Cheng Soon Ong	[14] [19]
23	Fernando Pereira (Fernando Manuel Bernardo Pereira)	[14]
24	Petra Philips	[15] [16]
25	Carl Edward Rasmussen	[14]
26	Gunnar Rätsch	[1] [2] [3] [4] [5] [6] [7] [8] [9] [10] [12] [13] [14] [15] [16] [19] [22] [23]
27	Konrad Rieck	[11]
28	Christin Schäfer	[5] [6] [9] [10]
29	Bernhard Schölkopf	[7] [8] [9] [14]
30	Gabriele Schweikert	[15] [19]
31	Alexander J. Smola (Alex J. Smola)	[14]
32	Koji Tsuda	[1] [2]
33	Pascal Vincent	[14]
34	Jason Weston	[14]
35	Christian Widmer	[23]
36	Robert C. Williamson	[14]
37	Georg Zeller	[19]
38	Alexander Zien	[13] [16] [19] [21] [22] [23] [24] [26]

Last update Sun Feb 12 22:50:56 2012 CET by the DBLP Team — Data released under the ODC-BY 1.0 license — See also our legal information page