PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

EPrints submitted by Sören Sonnenburg

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Number of EPrints submitted by this user: 20

Learning interpretable SVMs for biological sequence classification
Sören Sonnenburg, Gunnar Raetsch and Christin Schaefer
In: RECOMB 2005, Cambridge, USA(2005).

Large scale genomic sequence SVM classifiers
Sören Sonnenburg, Gunnar Raetsch and Bernhard Schölkopf
In: ICML 2005, Bonn, Germany(2005).

RASE: recognition of alternatively spliced exons in c. elegans
Gunnar Raetsch, Sören Sonnenburg and Bernhard Schölkopf
In: ISMB 2005, Detroit, USA(2005).

Classifying 'drug-likeness' with kernel-based learning methods
Klaus-Robert Müller, Gunnar Raetsch, Sören Sonnenburg, Sebastian Mika, Michael Grimm and Nikolaus Heinrich
J. Chem. Inf. Model Volume 45, Number 2, pp. 249-253, 2005.

Learning Interpretable SVMs for Biological Sequence Classification
Gunnar Raetsch, Sören Sonnenburg and Christin Schaefer
BMC Bioinformatics, Special Issue from NIPS workshop on New Problems and Methods in Computational Biology Whistler, Canada, 18 December 2004 Volume 7, Suppl. 1):, 2006.

A General and Efficient Multiple Kernel Learning Algorithm
Sören Sonnenburg, Gunnar Raetsch and Christin Schaefer
In: NIPS 2005, 05-08 Dec 2005, Vancouver, Canada.

Large Scale Multiple Kernel Learning
Sören Sonnenburg, Gunnar Raetsch, Christin Schaefer and Bernhard Schölkopf
Journal of Machine Learning Research Volume 7, pp. 1531-1565, 2006.

ARTS: Accurate Recognition of Transcription Starts in Human
Sören Sonnenburg, Alexander Zien and Gunnar Raetsch
Bioinformatics Volume 22, Number 14, e472-480, 2006.

Large scale learning with string kernels
Sören Sonnenburg, Gunnar Raetsch and Konrad Rieck
In: Large Scale Kernel Machines (2007) MIT Press , Cambridge, MA , pp. 73-103.

Maschinelles Lernen zur Genom-Sequenzanalyse
Sören Sonnenburg
Ausgezeichnete Informatikdissertationen 2008 Volume D-9, pp. 281-290, 2009.

Accurate Splice Site Prediction
Sören Sonnenburg, Gabriele Schweikert, Petra Philips, Jonas Behr and Gunnar Raetsch
BMC Bioinformatics, Special Issue from NIPS workshop on New Problems and Methods in Computational Biology Whistler, Canada, 18 December 2006 Volume 8, Number 8:(Suppl. 10):S7, 2007.

The Need for Open Source Software in Machine Learning
Sören Sonnenburg, Mikio Braun, Cheng Soon Ong, Samy Bengio, Leon Bottou, Geoffrey Holmes, Yann LeCun, Klaus-Robert Müller, Fernando Pereira, Carl Edward Rasmussen, Gunnar Raetsch, Bernhard Schölkopf, Alex Smola, Pascal Vincent, Jason Weston and Robert Williamson
Journal of Machine Learning Research Volume 8, pp. 2443-2466, 2007.

Optimized cutting plane algorithm for support vector machines
Vojtech Franc and Sören Sonnenburg
(2007) Technical Report. Fraunhofer Institute, Berlin, Germany.

Computing Positional Oligomer Importance Matrices (POIMs)
Alexander Zien, Petra Philips and Sören Sonnenburg
(2007) Technical Report. Fraunhofer Institute, Berlin, Germany.

Optimized Cutting Plane Algorithm for Large-Scale Risk Minimization
Vojtech Franc and Sören Sonnenburg
Journal of Machine Learning Research Volume 10, pp. 2157-2192, 2009.

Efficient and Accurate Lp-Norm Multiple Kernel Learning
Marius Kloft, Ulf Brefeld, Sören Sonnenburg, Pavel Laskov, Klaus-Robert Müller and Alexander Zien
Advances in Neural Information Processing Systems 22 Number 22, pp. 997-1005, 2009.

mGene: A Novel Discriminative Gene Finding System
Gabriele Schweikert, Georg Zeller, Alexander Zien, Jonas Behr, Cheng Soon Ong, Petra Philips, Anja Bohlen, Sören Sonnenburg and Gunnar Raetsch
Genome Research Volume 19, Number 11, pp. 2133-2143, 2009.

COFFIN: A Computational Framework for Linear SVMs
Sören Sonnenburg and Vojtech Franc
In: Proceedings of the 27nd International Machine Learning Conference, Haifa, Israel(2010).

The SHOGUN Machine Learning Toolbox
Sören Sonnenburg, Gunnar Raetsch, Sebastian Henschel, Christian Widmer, Jonas Behr, Alexander Zien, Fabio De Bona, Alexander Binder, Christian Gehl and Vojtech Franc
Journal of Machine Learning Research Volume 11, pp. 1799-1802, 2010.

Cutting Plane Methods in Machine Learning
Vojtech Franc, Sören Sonnenburg and Tomas Werner
In: Optimization for Machine Learning (2011) MIT Press .