Large scale multiple kernel learning (2006)

by Sören Sonnenburg , Gunnar Rätsch , Bernhard Schölkopf , Gunnar Rätsch
Venue:JOURNAL OF MACHINE LEARNING RESEARCH
Citations:222 - 17 self

Active Bibliography

A General and Efficient Multiple Kernel . . . – Sören Sonnenburg, Gunnar Rätsch , Christin Schäfer
4 BioMed Central – Bmc Bioinformatics, Ling Qin, Yixin Chen, Yi Pan, Ling Chen, Open Access - 2006
32 Learning interpretable SVMs for biological sequence classification – S. Sonnenburg, G. Rätsch, C. Schäfer - 2005
22 ℓp-norm multiple kernel learning – Marius Kloft, Ulf Brefeld, Sören Sonnenburg, Technische Universität, Alexander Zien, Francis Bach - 2011
4 Non-Sparse Regularization and Efficient Training with Multiple Kernels – Marius Kloft, Ulf Brefeld, Sören Sonnenburg, Alexander Zien - 2010
91 Training a support vector machine in the primal – Olivier Chapelle - 2007
Accurate splice site prediction using support vector machines – Bmc Bioinformatics, Sören Sonnenburg, Gabriele Schweikert, Petra Philips, Jonas Behr, Gunnar Rätsch, Petra Philips, Jonas Behr - 2007
24 ARTS: Accurate Recognition of Transcription Starts in Human – Sören Sonnenburg, Alexander Zien, Gunnar Rätsch - 2006
Learning with Unlabeled Data – Xu Zenglin
3 Optimized cutting plane algorithm for large-scale risk minimization – Vojtěch Franc, Sören Sonnenburg, Michele Sebag - 2009
5 SimpleMKL – Alain Rakotomamonjy, Francis R. Bach, Stéphane Canu, Yves Grandvalet - 2008
373 An introduction to kernel-based learning algorithms – Klaus-Robert Müller, Sebastian Mika, Gunnar Rätsch, Koji Tsuda, Bernhard Schölkopf - 2001
35 Efficient Margin Maximizing with Boosting – Gunnar Rätsch, Manfred K. Warmuth, Pack Kaelbling - 2002
18 Augmented Statistical Models for Classifying Sequence Data – Martin Layton - 2006
2 Rätsch G: PALMA: mRNA to genome alignments using large margin algorithms – Uta Schulze, Cheng Soon Ong, Gunnar Rätsch
1 A Brief Introduction into Machine Learning – Gunnar Rätsch
Pages 1–8 Optimal Spliced Alignments of Short Sequence Reads – Fabio De Bona, Stephan Ossowski, Korbinian Schneeberger
110 An introduction to boosting and leveraging – Ron Meir, Gunnar Rätsch - 2003
Journal of Machine Learning Research X (2008) 1-34 Submitted 01/08; Revised 08/08; Published XX/XX – Alain Rakotomamonjy, Francis R. Bach, Stéphane Canu, Yves Grandvalet, Nello Cristianini