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PASCAL Network

Full Name	Sören Sonnenburg
Title	Postgraduate
Site	T U Berlin
Status	Research Student
Tel	+493063921882
Fax	+493063921805
WWW	http://sonnenburgs.de/soeren
Research Interests
Computational, Information-Theoretic Learning with Statistics
Learning/Statistics & Optimisation
Theory & Algorithms
Natural Language Processing

Publications

Number of records: 35.

	A General and Efficient Multiple Kernel Learning Algorithm Sören Sonnenburg, Gunnar Raetsch and Christin Schaefer Conference or Workshop Item (2006)
	A New Scatter-Based Multi-Class Support Vector Machine Robert Jenssen, Marius Kloft, Sören Sonnenburg, Alexander Zien and Klaus-Robert Müller Book Section (2011)
	Accurate Splice Site Detection for Caenorhabditis elegans Gunnar Raetsch and Sören Sonnenburg Book Section Item not available online. (2004)
	Accurate Splice Site Prediction Sören Sonnenburg, Gabriele Schweikert, Petra Philips, Jonas Behr and Gunnar Raetsch Article (December 2007)
	Accurate Splice Site Prediction Using Support Vector Machines Sören Sonnenburg, Gabriele Schweikert, Petra Philips, Jonas Behr and Gunnar Raetsch Article Item not available online. (May 2007)
	ARTS: Accurate Recognition of Transcription Starts in Human Sören Sonnenburg, Alexander Zien and Gunnar Raetsch Article (2006)
	Classifying 'drug-likeness' with kernel-based learning methods Klaus-Robert Müller, Gunnar Raetsch, Sören Sonnenburg, Sebastian Mika, Michael Grimm and Nikolaus Heinrich Article Item not available online. (2005)
	COFFIN: A Computational Framework for Linear SVMs Sören Sonnenburg and Vojtech Franc Conference or Workshop Item (2010)
	Computation of Similarity Measures for Sequential Data using Generalized Suffix Trees Konrad Rieck, Pavel Laskov and Sören Sonnenburg Conference or Workshop Item (2006)
	Computing Positional Oligomer Importance Matrices (POIMs) Alexander Zien, Petra Philips and Sören Sonnenburg Monograph (December 2007)
	Cutting Plane Methods in Machine Learning Vojtech Franc, Sören Sonnenburg and Tomas Werner Book Section Item not available online. (December 2011)
	Efficient and Accurate Lp-Norm Multiple Kernel Learning Marius Kloft, Ulf Brefeld, Sören Sonnenburg, Pavel Laskov, Klaus-Robert Müller and Alexander Zien Article (2009)
	Improving the C. elegans genome annotation using machine learning Gunnar Raetsch, Sören Sonnenburg, J Srinivasan, H Witte, Klaus-Robert Müller, R Sommer and Bernhard Schölkopf Article Item not available online. (February 2007)
	Large scale genomic sequence SVM classifiers Sören Sonnenburg, Gunnar Raetsch and Bernhard Schölkopf Conference or Workshop Item (2005)
	Large Scale Hidden Semi-Markov SVMs Gunnar Raetsch and Sören Sonnenburg Conference or Workshop Item Item not available online. (2007)
	Large scale learning with string kernels Sören Sonnenburg, Gunnar Raetsch and Konrad Rieck Book Section (2007)
	Large Scale Multiple Kernel Learning Sören Sonnenburg, Gunnar Raetsch, Christin Schaefer and Bernhard Schölkopf Article (July 2006)
	Large scale multiple kernel learning Sören Sonnenburg, Gunnar Raetsch, Christin Schaefer and Bernhard Schölkopf Article Item not available online. (2006)
	Large Scale Semi Hidden Markov SVMs Gunnar Raetsch and Sören Sonnenburg Conference or Workshop Item (June 2006)
	Learning interpretable SVMs for biological sequence classification Gunnar Raetsch and Sören Sonnenburg Article Item not available online. (2005)
	Learning Interpretable SVMs for Biological Sequence Classification Gunnar Raetsch, Sören Sonnenburg and Christin Schaefer Article (March 2006)
	Learning interpretable SVMs for biological sequence classification Sören Sonnenburg, Gunnar Raetsch and Christin Schaefer Conference or Workshop Item (2005)
	Maschinelles Lernen zur Genom-Sequenzanalyse Sören Sonnenburg Article Item not available online. (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 Article Item not available online. (2009)
	Non-sparse Multiple Kernel Learning Marius Kloft, Ulf Brefeld, Pavel Laskov and Sören Sonnenburg Conference or Workshop Item (December 2008)
	Optimized Cutting Plane Algorithm for Large-Scale Risk Minimization Vojtech Franc and Sören Sonnenburg Article (2009)
	Optimized cutting plane algorithm for support vector machines Vojtech Franc and Sören Sonnenburg Monograph (December 2007)
	Optimized cutting plane algorithm for support vector machines Vojtech Franc and Sören Sonnenburg Conference or Workshop Item (July 2008)
	Positional Oligomer Importance Matrices Alexander Zien, Sören Sonnenburg, Petra Philips and Gunnar Raetsch Conference or Workshop Item Item not available online. (08 December 2007)
	RASE: recognition of alternatively spliced exons in c. elegans Gunnar Raetsch, Sören Sonnenburg and Bernhard Schölkopf Conference or Workshop Item Item not available online. (2005)
	RASE: recognition of alternatively spliced exons in C.elegans Gunnar Rätsch, Sören Sonnenburg and Bernhard Schölkopf Article Item not available online. (June 2005)
	The Feature Importance Ranking Measure Alexander Zien, Nicole Krämer, Sören Sonnenburg and Gunnar Raetsch Conference or Workshop Item (2009)
	The Need for Open Source Software in Machine Learning Sören Sonnenburg, Mikio Braun, Cheng Soon Ong, Samy Bengio, Leon Bottou, Geoff Holmes, Yann Lecun, Klaus-Robert Müller, Gunnar Raetsch, Bernhard Schölkopf, Jason Weston and Bob Williamson Article (June 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 Article (September 2007)
	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 Article (June 2010)

This list was generated on Fri May 24 09:33:35 BST 2013.