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All publications by Sören Sonnenburg
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Hierarchical Multitask Structured Output Learning for Large-scale Sequence Segmentation
Nico Goernitz, Christian K. Widmer, Georg Zeller, Andre Kahles, Gunnar Rätsch and Sören Sonnenburg
Advances in Neural Information Processing Systems 24, 2011


COFFIN: A Computational Framework for Linear SVMs
Sören Sonnenburg and Vojtech Franc
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Optimized Cutting Plane Algorithm for Large-Scale Risk Minimization
Vojtech Franc and Sören Sonnenburg
Journal of Machine Learning Research, 2009


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


Optimized cutting plane algorithm for support vector machines
Vojtech Franc and Sören Sonnenburg
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


The Need for Open Source Software in Machine Learning
Sören Sonnenburg, Mikio L. Braun, Cheng S. Ong, Samy Bengio, Léon Bottou, Geoffrey Holmes, Yann Lecun, Klaus-robert Müller, Fernando Pereira, Carl E. Rasmussen, Gunnar Rätsch, Bernhard Schölkopf, Pascal Vincent, Jason Weston, Robert C. Williamson and Alex J. Smola
Journal of Machine Learning Research, 2007


Large Scale Multiple Kernel Learning
Sören Sonnenburg, Gunnar Rätsch, Christin Schäfer and Bernhard Schölkopf
Journal of Machine Learning Research, 2006


Computation of Similarity Measures for Sequential Data using Generalized Suffix Trees
Konrad Rieck, Pavel Laskov and Sören Sonnenburg
Advances in Neural Information Processing Systems 19, 2006


Large Scale Hidden Semi-Markov SVMs
Gunnar Rätsch and Sören Sonnenburg
Advances in Neural Information Processing Systems 19, 2006


Large scale genomic sequence SVM classifiers
Sören Sonnenburg, Gunnar Rätsch and Bernhard Schölkopf
Proceedings of the 22nd International Conference on Machine Learning (ICML-05), 2005


A New Discriminative Kernel From Probabilistic Models
Koji Tsuda, Motoaki Kawanabe, Gunnar Rätsch, Sören Sonnenburg and Klaus-robert Müller
Advances in Neural Information Processing Systems 14, 2001