Sören Sonnenburg

29 papers A* 3A 1B 1C 1Journal 11Unranked 10

Year	Rank	Type	Title / Venue / Authors
2011	—	`conf`	A new scatter-based multi-class support vector machine. MLSP Robert Jenssen, Marius Kloft, Sören Sonnenburg, Alexander Zien, Klaus-Robert Müller
2011	—	`conf`	Hierarchical Multitask Structured Output Learning for Large-scale Sequence Segmentation. NIPS Nico Görnitz, Christian Widmer, Georg Zeller, André Kahles, Sören Sonnenburg, Gunnar Rätsch
2010	A*	`conf`	COFFIN: A Computational Framework for Linear SVMs. ICML Sören Sonnenburg, Vojtech Franc
2010	J	`jnl`	Non-Sparse Regularization and Efficient Training with Multiple Kernels CoRR Marius Kloft, Ulf Brefeld, Sören Sonnenburg, Alexander Zien
2010	J	`jnl`	The SHOGUN Machine Learning Toolbox. J. Mach. Learn. Res. Sören Sonnenburg, Gunnar Rätsch, Sebastian Henschel, Christian Widmer, Jonas Behr, Alexander Zien, Fabio De Bona, Alexander Binder, Christian Gehl, Vojtech Franc
2009	—	`conf`	Efficient and Accurate Lp-Norm Multiple Kernel Learning. NIPS Marius Kloft, Ulf Brefeld, Sören Sonnenburg, Pavel Laskov, Klaus-Robert Müller, Alexander Zien
2009	J	`jnl`	Optimized Cutting Plane Algorithm for Large-Scale Risk Minimization. J. Mach. Learn. Res. Vojtech Franc, Sören Sonnenburg
2009	—	`conf`	The Feature Importance Ranking Measure. ECML/PKDD (2) Alexander Zien, Nicole Krämer, Sören Sonnenburg, Gunnar Rätsch
2008	—	`—`	Machine learning for genomic sequence analysis. Sören Sonnenburg
2008	—	`ch.`	Maschinelles Lernen zur Genom-Sequenzanalyse [Machine Learning for Genomic Sequence Analysis]. Ausgezeichnete Informatikdissertationen Sören Sonnenburg
2008	A*	`conf`	Optimized cutting plane algorithm for support vector machines. ICML Vojtech Franc, Sören Sonnenburg
2008	A	`conf`	POIMs: positional oligomer importance matrices - understanding support vector machine-based signal detectors. ISMB Sören Sonnenburg, Alexander Zien, Petra Philips, Gunnar Rätsch
2008	J	`jnl`	Support Vector Machines and Kernels for Computational Biology. PLoS Comput. Biol. Asa Ben-Hur, Cheng Soon Ong, Sören Sonnenburg, Bernhard Schölkopf, Gunnar Rätsch
2007	J	`jnl`	Accurate splice site prediction using support vector machines. BMC Bioinform. Sören Sonnenburg, Gabriele Beate Schweikert, Petra Philips, Jonas Behr, Gunnar Rätsch
2007	J	`jnl`	Improving the PLoS Comput. Biol. Gunnar Rätsch, Sören Sonnenburg, Jagan Srinivasan, Hanh Witte, Klaus-Robert Müller, Ralf J. Sommer, Bernhard Schölkopf
2007	J	`jnl`	The Need for Open Source Software in Machine Learning. J. Mach. Learn. Res. 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
2006	—	`conf`	ARTS: accurate recognition of transcription starts in human. ISMB (Supplement of Bioinformatics) Sören Sonnenburg, Alexander Zien, Gunnar Rätsch
2006	—	`conf`	Computation of Similarity Measures for Sequential Data using Generalized Suffix Trees. NIPS Konrad Rieck, Pavel Laskov, Sören Sonnenburg
2006	—	`conf`	Large Scale Hidden Semi-Markov SVMs. NIPS Gunnar Rätsch, Sören Sonnenburg
2006	J	`jnl`	Large Scale Multiple Kernel Learning. J. Mach. Learn. Res. Sören Sonnenburg, Gunnar Rätsch, Christin Schäfer, Bernhard Schölkopf
2006	J	`jnl`	Learning Interpretable SVMs for Biological Sequence Classification. BMC Bioinform. Gunnar Rätsch, Sören Sonnenburg, Christin Schäfer
2005	—	`conf`	A General and Efficient Multiple Kernel Learning Algorithm. NIPS Sören Sonnenburg, Gunnar Rätsch, Christin Schäfer
2005	J	`jnl`	Classifying 'Drug-likeness' with Kernel-Based Learning Methods. J. Chem. Inf. Model. Klaus-Robert Müller, Gunnar Rätsch, Sören Sonnenburg, Sebastian Mika, Michael Grimm, Nikolaus Heinrich
2005	A*	`conf`	Large scale genomic sequence SVM classifiers. ICML Sören Sonnenburg, Gunnar Rätsch, Bernhard Schölkopf
2005	B	`conf`	Learning Interpretable SVMs for Biological Sequence Classification. RECOMB Sören Sonnenburg, Gunnar Rätsch, Christin Schäfer
2005	—	`conf`	RASE: recognition of alternatively spliced exons in ISMB (Supplement of Bioinformatics) Gunnar Rätsch, Sören Sonnenburg, Bernhard Schölkopf
2002	J	`jnl`	A New Discriminative Kernel from Probabilistic Models. Neural Comput. Koji Tsuda, Motoaki Kawanabe, Gunnar Rätsch, Sören Sonnenburg, Klaus-Robert Müller
2002	C	`conf`	New Methods for Splice Site Recognition. ICANN Sören Sonnenburg, Gunnar Rätsch, Arun K. Jagota, Klaus-Robert Müller
2001	—	`conf`	A New Discriminative Kernel From Probabilistic Models. NIPS Koji Tsuda, Motoaki Kawanabe, Gunnar Rätsch, Sören Sonnenburg, Klaus-Robert Müller