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All publications by Gunnar Rätsch
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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


An Empirical Analysis of Domain Adaptation Algorithms for Genomic Sequence Analysis
Gabriele Schweikert, Gunnar Rätsch, Christian K. Widmer and Bernhard Schölkopf
Advances in Neural Information Processing Systems 21, 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


Totally corrective boosting algorithms that maximize the margin
Manfred K. Warmuth, Jun Liao and Gunnar Rätsch
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


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


Matrix Exponentiated Gradient Updates for On-line Learning and Bregman Projection
Koji Tsuda, Gunnar Rätsch and Manfred K. Warmuth
Journal of Machine Learning Research, 2005


Efficient Margin Maximizing with Boosting
Gunnar Rätsch and Manfred K. Warmuth
Journal of Machine Learning Research, 2005


Matrix Exponential Gradient Updates for On-line Learning and Bregman Projection
Koji Tsuda, Gunnar Rätsch and Manfred K. Warmuth
Advances in Neural Information Processing Systems 17, 2004


Image Reconstruction by Linear Programming
Koji Tsuda and Gunnar Rätsch
Advances in Neural Information Processing Systems 16, 2003


Adapting Codes and Embeddings for Polychotomies
Gunnar Rätsch, Sebastian Mika and Alex J. Smola
Advances in Neural Information Processing Systems 15, 2002


On the Convergence of Leveraging
Gunnar Rätsch, Sebastian Mika and Manfred K. Warmuth
Advances in Neural Information Processing Systems 14, 2001


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