lp-Norm Multiple Kernel Learning.

Sören Sonnenburg

Marius Kloft Ulf Brefeld Sören Sonnenburg Alexander Zien lp-Norm Multiple Kernel Learning. 953-997 2011 12 J. Mach. Learn. Res. https://dl.acm.org/doi/10.5555/1953048.2021033 db/journals/jmlr/jmlr12.html#KloftBSZ11

Robert Jenssen Marius Kloft Sören Sonnenburg Alexander Zien Klaus-Robert Müller A new scatter-based multi-class support vector machine. 1-6 2011 MLSP https://doi.org/10.1109/MLSP.2011.6064625 conf/mlsp/2011 db/conf/mlsp/mlsp2011.html#JenssenKSZM11 Nico Görnitz Christian Widmer Georg Zeller André Kahles Sören Sonnenburg Gunnar Rätsch Hierarchical Multitask Structured Output Learning for Large-scale Sequence Segmentation. 2690-2698 2011 NIPS https://proceedings.neurips.cc/paper/2011/hash/ac796a52db3f16bbdb6557d3d89d1c5a-Abstract.html http://papers.nips.cc/paper/4194-hierarchical-multitask-structured-output-learning-for-large-scale-sequence-segmentation conf/nips/2011 db/conf/nips/nips2011.html#GoernitzWZKSR11

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. 1799-1802 2010 11 J. Mach. Learn. Res. https://dl.acm.org/doi/10.5555/1756006.1859911 db/journals/jmlr/jmlr11.html#SonnenburgRHWBZBBGF10

Sören Sonnenburg Vojtech Franc COFFIN: A Computational Framework for Linear SVMs. 999-1006 2010 ICML https://icml.cc/Conferences/2010/papers/280.pdf conf/icml/2010 db/conf/icml/icml2010.html#SonnenburgF10

Marius Kloft Ulf Brefeld Sören Sonnenburg Alexander Zien Non-Sparse Regularization and Efficient Training with Multiple Kernels http://arxiv.org/abs/1003.0079 2010 CoRR abs/1003.0079 db/journals/corr/corr1003.html#abs-1003-0079

Vojtech Franc Sören Sonnenburg Optimized Cutting Plane Algorithm for Large-Scale Risk Minimization. 2157-2192 2009 10 J. Mach. Learn. Res. https://dl.acm.org/doi/10.5555/1577069.1755859 db/journals/jmlr/jmlr10.html#FrancS09

Gabriele Beate Schweikert Jonas Behr Alexander Zien Georg Zeller Cheng Soon Ong Sören Sonnenburg Gunnar Rätsch mGene.web: a web service for accurate computational gene finding. 312-316 2009 37 Nucleic Acids Res. Web-Server-Issue https://doi.org/10.1093/nar/gkp479 https://www.wikidata.org/entity/Q24655379 db/journals/nar/nar37.html#SchweikertBZZOSR09

Marius Kloft Ulf Brefeld Sören Sonnenburg Pavel Laskov Klaus-Robert Müller Alexander Zien Efficient and Accurate Lp-Norm Multiple Kernel Learning. 997-1005 2009 NIPS https://proceedings.neurips.cc/paper/2009/hash/d516b13671a4179d9b7b458a6ebdeb92-Abstract.html http://papers.nips.cc/paper/3675-efficient-and-accurate-lp-norm-multiple-kernel-learning conf/nips/2009 db/conf/nips/nips2009.html#KloftBSLMZ09 Alexander Zien Nicole Krämer 0002 Sören Sonnenburg Gunnar Rätsch The Feature Importance Ranking Measure. 694-709 2009 ECML/PKDD (2) https://doi.org/10.1007/978-3-642-04174-7_45 https://www.wikidata.org/entity/Q57525500 conf/pkdd/2009-2 db/conf/pkdd/pkdd2009-2.html#ZienKSR09 Sören Sonnenburg Machine learning for genomic sequence analysis. 2008 Berlin Institute of Technology http://opus.kobv.de/tuberlin/volltexte/2009/2128/ https://nbn-resolving.org/urn:nbn:de:kobv:83-opus-21283 https://d-nb.info/992406250

Asa Ben-Hur Cheng Soon Ong Sören Sonnenburg Bernhard Schölkopf Gunnar Rätsch Support Vector Machines and Kernels for Computational Biology. 2008 4 PLoS Comput. Biol. 10 https://doi.org/10.1371/journal.pcbi.1000173 https://www.wikidata.org/entity/Q33381579 db/journals/ploscb/ploscb4.html#Ben-HurOSSR08

Vojtech Franc Sören Sonnenburg Optimized cutting plane algorithm for support vector machines. 320-327 2008 ICML https://doi.org/10.1145/1390156.1390197 conf/icml/2008 db/conf/icml/icml2008.html#FrancS08 Sören Sonnenburg Alexander Zien Petra Philips Gunnar Rätsch POIMs: positional oligomer importance matrices - understanding support vector machine-based signal detectors. 6-14 2008 ISMB https://doi.org/10.1093/bioinformatics/btn170 https://www.wikidata.org/entity/Q37283311 conf/ismb/2008 db/conf/ismb/ismb2008.html#SonnenburgZPR08 Sören Sonnenburg Maschinelles Lernen zur Genom-Sequenzanalyse [Machine Learning for Genomic Sequence Analysis]. 281-290 2008 Ausgezeichnete Informatikdissertationen conf/gi/2008diss db/conf/gi/diss2008.html#Sonnenburg08 https://dl.gi.de/handle/20.500.12116/33609

Sören Sonnenburg Gabriele Beate Schweikert Petra Philips Jonas Behr Gunnar Rätsch Accurate splice site prediction using support vector machines. 2007 8 BMC Bioinform. S-10 https://doi.org/10.1186/1471-2105-8-S10-S7 https://www.wikidata.org/entity/Q33319511 db/journals/bmcbi/bmcbi8S.html#SonnenburgSPBR07

Sören Sonnenburg Mikio L. Braun Cheng Soon Ong Samy Bengio Léon Bottou Geoffrey Holmes 0001 Yann LeCun Klaus-Robert Müller Fernando Pereira 0003 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. 2443-2466 2007 8 J. Mach. Learn. Res. https://dl.acm.org/doi/10.5555/1314498.1314577 db/journals/jmlr/jmlr8.html#SonnenburgBOBBHLMPRRSSVWW07

Gunnar Rätsch Sören Sonnenburg Jagan Srinivasan Hanh Witte Klaus-Robert Müller Ralf J. Sommer Bernhard Schölkopf Improving the Caenorhabditis elegans Genome Annotation Using Machine Learning. 2007 3 PLoS Comput. Biol. 2 https://doi.org/10.1371/journal.pcbi.0030020 https://www.wikidata.org/entity/Q21145670 db/journals/ploscb/ploscb3.html#RatschSSWMSS07

Gunnar Rätsch Sören Sonnenburg Christin Schäfer Learning Interpretable SVMs for Biological Sequence Classification. 2006 7 BMC Bioinform. S-1 https://doi.org/10.1186/1471-2105-7-S1-S9 https://www.wikidata.org/entity/Q33244587 db/journals/bmcbi/bmcbi7S.html#RatschSS06

Sören Sonnenburg Gunnar Rätsch Christin Schäfer Bernhard Schölkopf Large Scale Multiple Kernel Learning. 1531-1565 2006 7 J. Mach. Learn. Res. https://jmlr.org/papers/v7/sonnenburg06a.html db/journals/jmlr/jmlr7.html#SonnenburgRSS06

Sören Sonnenburg Alexander Zien Gunnar Rätsch ARTS: accurate recognition of transcription starts in human. 472-480 2006 conf/ismb/2006 ISMB (Supplement of Bioinformatics) https://doi.org/10.1093/bioinformatics/btl250 https://www.wikidata.org/entity/Q48437404 db/conf/ismb/ismb2006.html#SonnenburgZR06 Gunnar Rätsch Sören Sonnenburg Large Scale Hidden Semi-Markov SVMs. 1161-1168 2006 conf/nips/2006 NIPS https://proceedings.neurips.cc/paper/2006/hash/faa453efde4ac6a36849ba381feb9e87-Abstract.html http://papers.nips.cc/paper/2988-large-scale-hidden-semi-markov-svms db/conf/nips/nips2006.html#RatschS06 Konrad Rieck Pavel Laskov Sören Sonnenburg Computation of Similarity Measures for Sequential Data using Generalized Suffix Trees. 1177-1184 2006 conf/nips/2006 NIPS https://proceedings.neurips.cc/paper/2006/hash/a36e841c5230a79c2102036d2e259848-Abstract.html http://papers.nips.cc/paper/2999-computation-of-similarity-measures-for-sequential-data-using-generalized-suffix-trees db/conf/nips/nips2006.html#RieckLS06

Klaus-Robert Müller Gunnar Rätsch Sören Sonnenburg Sebastian Mika Michael Grimm Nikolaus Heinrich Classifying 'Drug-likeness' with Kernel-Based Learning Methods. 249-253 2005 45 J. Chem. Inf. Model. 2 https://doi.org/10.1021/ci049737o https://www.wikidata.org/entity/Q45966475 db/journals/jcisd/jcisd45.html#MullerRSMGH05

Sören Sonnenburg Gunnar Rätsch Bernhard Schölkopf Large scale genomic sequence SVM classifiers. 848-855 2005 conf/icml/2005 ICML https://doi.org/10.1145/1102351.1102458 https://www.wikidata.org/entity/Q57525548 db/conf/icml/icml2005.html#SonnenburgRS05 Gunnar Rätsch Sören Sonnenburg Bernhard Schölkopf RASE: recognition of alternatively spliced exons in C.elegans. 369-377 2005 conf/ismb/2005 ISMB (Supplement of Bioinformatics) https://doi.org/10.1093/bioinformatics/bti1053 https://www.wikidata.org/entity/Q45966392 db/conf/ismb/ismb2005.html#RatschSS05 Sören Sonnenburg Gunnar Rätsch Christin Schäfer A General and Efficient Multiple Kernel Learning Algorithm. 2005 conf/nips/2005 NIPS https://proceedings.neurips.cc/paper/2005/hash/b4944963b5c83d545c3d3022bcf03282-Abstract.html http://papers.nips.cc/paper/2890-a-general-and-efficient-multiple-kernel-learning-algorithm db/conf/nips/nips2005.html#SonnenburgRS05 1273-1280 Sören Sonnenburg Gunnar Rätsch Christin Schäfer Learning Interpretable SVMs for Biological Sequence Classification. 389-407 2005 conf/recomb/2005 RECOMB https://doi.org/10.1007/11415770_30 db/conf/recomb/recomb2005.html#SonnenburgRS05

Koji Tsuda Motoaki Kawanabe Gunnar Rätsch Sören Sonnenburg Klaus-Robert Müller A New Discriminative Kernel from Probabilistic Models. 2397-2414 2002 14 Neural Comput. 10 https://doi.org/10.1162/08997660260293274 https://www.wikidata.org/entity/Q52029901 db/journals/neco/neco14.html#TsudaKRSM02

Sören Sonnenburg Gunnar Rätsch Arun K. Jagota Klaus-Robert Müller New Methods for Splice Site Recognition. 329-336 2002 conf/icann/2002 ICANN https://doi.org/10.1007/3-540-46084-5_54 https://www.wikidata.org/entity/Q57525574 db/conf/icann/icann2002.html#SonnenburgRJM02 Koji Tsuda Motoaki Kawanabe Gunnar Rätsch Sören Sonnenburg Klaus-Robert Müller A New Discriminative Kernel From Probabilistic Models. 977-984 2001 conf/nips/2001 NIPS https://proceedings.neurips.cc/paper/2001/hash/cee8d6b7ce52554fd70354e37bbf44a2-Abstract.html http://papers.nips.cc/paper/2014-a-new-discriminative-kernel-from-probabilistic-models db/conf/nips/nips2001.html#TsudaKRSM01 Jonas Behr Asa Ben-Hur Samy Bengio Alexander Binder Fabio De Bona Léon Bottou Mikio L. Braun Ulf Brefeld Vojtech Franc Christian Gehl Nico Görnitz Michael Grimm Nikolaus Heinrich Sebastian Henschel Geoff Holmes 0001Geoffrey Holmes 0001 Arun K. Jagota Robert Jenssen André Kahles Motoaki Kawanabe Marius Kloft Nicole Krämer 0002 Pavel Laskov Yann LeCun Sebastian Mika Klaus-Robert Müller Cheng Soon Ong Fernando Pereira 0003 Petra Philips Carl E. RasmussenCarl Edward Rasmussen Gunnar Rätsch Konrad Rieck Christin Schäfer Bernhard Schölkopf Gabriele Beate Schweikert Alexander J. Smola Ralf J. Sommer Jagan Srinivasan Koji Tsuda Pascal Vincent Jason Weston Christian Widmer Robert C. Williamson Hanh Witte Georg Zeller Alexander Zien