Publications of K-R Müller

Sonnenburg, S.; Braun, M.; Ong, C.; Bengio, S.; Bottou, L.; Holmes , G.; LeCun, Y.; Müller, K.-R.; Pereira, F.; Rasmussen, C. et al.; Rätsch, G.; Schölkopf, B.; Smola, A.; Vincent , P.; Weston, J.; Williamson, R.: The Need for Open Source Software in Machine Learning. The Journal of Machine Learning Research 8, pp. 2443 - 2466 (2007)

Rätsch, G.; Sonnenburg, S.; Srinivasan , J.; Witte, H.; Müller, K.-R.; Sommer, R.; Schölkopf, B.: Improving the Caenorhabditis elegans Genome Annotation Using Machine Learning. PLoS Computational Biology 3 (2 ), e20, pp. 0313 - 0322 (2007)

Müller, K.-R.; Rätsch, G.; Sonnenburg, S.; Mika, S.; Grimm, M.; Heinrich, N.: Classifying "drug-likeness" with kernel-based learning methods. Journal of Chemical Information and Modeling 45 (2), pp. 249 - 253 (2005)

Tsuda, K.; Kawanabe, M.; Rätsch, G.; Sonnenburg, S.; Müller, K.: A New Discriminative Kernel from Probabilistic Models. Neural computation 14 (10), pp. 2397 - 2414 (2002)

Jenssen, R.; Kloft, M.; Sonnenburg, S.; Zien, A.; Müller, K.-R.: A new scatter-based multi-class support vector machine. In: 2011 IEEE International Workshop on Machine Learning for Signal Processing (Ed. Tan, T.). IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2011), Beijing, China, September 18, 2011 - September 21, 2011. IEEE, Piscataway, NJ, USA (2011)

Kloft, M.; Brefeld, U.; Sonnenburg, S.; Laskov, P.; Müller, K.-R.; Zien, A.: Efficient and Accurate Lp-Norm Multiple Kernel Learning. In: Advances in Neural Information Processing Systems 22, pp. 997 - 1005 (Eds. Bengio, Y.; Schuurmans, D.; Lafferty, J.; Williams, C.; Culotta, A.). 23rd Annual Conference on Neural Information Processing Systems (NIPS 2009), Vancouver, BC, Canada, December 07, 2009 - December 10, 2009. Curran, Red Hook, NY, USA (2010)

Rätsch, G.; Sonnenburg, S.; Srinivasan, J.; Müller, K.-R.; Sommer, R.; Schölkopf, B.: Splice Form Prediction using Machine Learning. 14th International Conference on Intelligent Systems for Molecular Biology (ISMB 2006), Fortaleza, Brazil (2006)

Jenssen, R.; Kloft, M.; Zien, A.; Sonnenburg, S.; Müller, K.-R.: A Multi-Class Support Vector Machine Based on Scatter Criteria (Forschungsberichte der Fakultät IV: Elektrotechnik und Informatik, Technische Universität Berlin, 014-2009). (2009)