Soeren Sonnenburg
Soeren Sonnenburg
Machine Learning Researcher
Verified email at tomtom.com - Homepage
Title
Cited by
Cited by
Year
Large scale multiple kernel learning
S Sonnenburg, G Rätsch, C Schäfer, B Schölkopf
Journal of Machine Learning Research 7 (Jul), 1531-1565, 2006
15952006
Support vector machines and kernels for computational biology
A Ben-Hur, CS Ong, S Sonnenburg, B Schölkopf, G Rätsch
PLoS Comput Biol 4 (10), e1000173, 2008
6012008
lp-Norm Multiple Kernel Learning
M Kloft, U Brefeld, S Sonnenburg, A Zien
The Journal of Machine Learning Research 12, 953-997, 2011
3972011
SGD-QN: Careful quasi-Newton stochastic gradient descent
A Bordes, L Bottou, P Gallinari
3492009
The SHOGUN machine learning toolbox
S Sonnenburg, G Rätsch, S Henschel, C Widmer, J Behr, A Zien, F Bona, ...
The Journal of Machine Learning Research 11, 1799-1802, 2010
3412010
Efficient and accurate lp-norm multiple kernel learning
M Kloft, U Brefeld, P Laskov, KR Müller, A Zien, S Sonnenburg
Advances in neural information processing systems, 997-1005, 2009
3062009
Accurate splice site prediction using support vector machines
S Sonnenburg, G Schweikert, P Philips, J Behr, G Rätsch
BMC bioinformatics 8 (S10), S7, 2007
2202007
A general and efficient multiple kernel learning algorithm
S Sonnenburg, G Rätsch, C Schäfer
Advances in neural information processing systems, 1273-1280, 2006
2092006
The need for open source software in machine learning
S Sonnenburg, ML Braun, CS Ong, S Bengio, L Bottou, G Holmes, ...
2052007
A new discriminative kernel from probabilistic models
K Tsuda, M Kawanabe, G Rätsch, S Sonnenburg, KR Müller
Advances in Neural Information Processing Systems, 977-984, 2002
1942002
Optimized cutting plane algorithm for support vector machines
V Franc, S Sonnenburg
Proceedings of the 25th international conference on Machine learning, 320-327, 2008
1722008
ARTS: accurate recognition of transcription starts in human
S Sonnenburg, A Zien, G Rätsch
Bioinformatics 22 (14), e472-e480, 2006
1632006
RASE: recognition of alternatively spliced exons in C.elegans
G Rätsch, S Sonnenburg, B Schölkopf
Bioinformatics 21 (suppl_1), i369-i377, 2005
1632005
Non-sparse multiple kernel learning
M Kloft, U Brefeld, P Laskov, S Sonnenburg
NIPS Workshop on Kernel Learning: Automatic Selection of Optimal Kernels 4, 5, 2008
1182008
13 Accurate Splice Site Detection for Caenorhabditis elegans
G Rätsch, S Sonnenburg
Kernel methods in computational biology, 277, 2004
1072004
mGene: accurate SVM-based gene finding with an application to nematode genomes
G Schweikert, A Zien, G Zeller, J Behr, C Dieterich, CS Ong, P Philips, ...
Genome research 19 (11), 2133-2143, 2009
1052009
Classifying ‘drug-likeness' with kernel-based learning methods
KR Müller, G Rätsch, S Sonnenburg, S Mika, M Grimm, N Heinrich
Journal of chemical information and modeling 45 (2), 249-253, 2005
1002005
Improving the Caenorhabditis elegans genome annotation using machine learning
G Rätsch, S Sonnenburg, J Srinivasan, H Witte, KR Müller, RJ Sommer, ...
PLoS Comput Biol 3 (2), e20, 2007
982007
New methods for splice site recognition
S Sonnenburg, G Rätsch, A Jagota, KR Müller
International Conference on Artificial Neural Networks, 329-336, 2002
922002
COFFIN: A Computational Framework for Linear SVMs.
S Sonnenburg, V Franc
ICML, 999-1006, 2010
912010
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