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publications

(72)

• Optimal spliced alignments of short sequence reads.
  Fabio De Bona and Stephan Ossowski and Korbinian Schneeberger and Gunnar Rätsch ECCB 174-180 (2008)
  to dblp by dblp on 2008-08-20 00:00:00
  | URL | BibTeX  
• POIMs: positional oligomer importance matrices - understanding support vector machine-based signal detectors.
  Sören Sonnenburg and Alexander Zien and Petra Philips and Gunnar Rätsch ISMB 6-14 (2008)
  to dblp by dblp on 2008-08-04 00:00:00
  | URL | BibTeX  
• Input space versus feature space in kernel-based methods.
  Bernhard Schölkopf and Sebastian Mika and Christopher J. C. Burges and Phil Knirsch and K.-R. Muller and Gunnar Rätsch and Alexander J. Smola IEEE Transactions on Neural Networks 10 1000-1017 (1999)
  to dblp by dblp on 2008-06-15 00:00:00
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• Introduction to Statistical Learning Theory.
  Olivier Bousquet and Stéphane Boucheron and Gábor Lugosi Advanced Lectures on Machine Learning 169-207 (2003)
  to dipl_literatur ml by danielt and 1 other person on 2008-03-14 16:26:27
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• An Introduction to Kernel-Based learning Algorithms
  K.-R. Müller and S. Mika and G. Rätsch and S. Tsuda and B Schölkopf IEEE Transactions on Neural Networks 12 181--202 (2001)
  to dipl_literatur svm by danielt and 3 other people on 2008-03-13 19:44:21
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• PALMA: mRNA to genome alignments using large margin algorithms.
  Uta Schulze and Bettina Hepp and Cheng Soon Ong and Gunnar Rätsch Bioinformatics 23 1892-1900 (2007)
  to dblp by dblp on 2008-01-11 00:00:00
  | URL | BibTeX  
• Large Scale Hidden Semi-Markov SVMs.
  Gunnar Rätsch and Sören Sonnenburg NIPS 1161-1168 (2006)
  to dblp by dblp on 2007-10-25 00:00:00
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• Soft Margins for AdaBoost
  G. Rätsch and T. Onoda and K.-R. Müller Machine Learning 42 287--320 (2001)
  to boosting regularization by sb3000 and 1 other person on 2007-10-02 15:21:28
  | URL | BibTeX  
• An Introduction to Boosting and Leveraging
  Ron Meir and Gunnar Rätsch Advanced Lectures on Machine Learning 118--183 (2003)
  to boosting introduction by sb3000 and 1 other person on 2007-10-02 10:23:36
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• Unsupervised Learning of Semantic Relations between Concepts of a Molecular Biology Ontology
  Massimiliano Ciaramita Aldo Gangemi Esther Ratsch Jasmin Saric Isabel Rojas Proceedings of the 19th International Joint Conference on Artificial Intelligence (2005)
  to learning relation semantic unsupervised by valentinapresutti on 2007-07-19 14:03:39
  | BibTeX