Publications of G Rätsch

Sonnenburg, S.; Rätsch, G.; Schäfer, C.; Schölkopf, B.: Large Scale Multiple Kernel Learning. The Journal of Machine Learning Research 7, pp. 1531 - 1565 (2006)

Rätsch, G.; Warmuth, M.: Efficient Margin Maximizing with Boosting. Journal of Machine Learning Research 6, pp. 2131 - 2152 (2005)

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)

Rätsch, G.: Intelligente Algorithmen zur Analyse zellulärer Spleißmechanismen [Intelligent Algorithms for the Analysis of Cellular Splicing Mechanisms]. Jahrbuch der Max-Planck-Gesellschaft 2005 (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)

Sonnenburg, S.; Rieck, K.; Rätsch, G.: Large Scale Learning with String Kernels. In: Large-scale kernel machines, 4, pp. 73 - 103 (Ed. Bottou, L.). MIT Press (2007)

Rätsch, G.; Sonnenburg, S.: Accurate Splice Site Detection for Caenorhabditis elegans. In: Kernel Methods in Computational Biology, pp. 277 - 298 (Eds. Schölkopf, B.; Tsuda, K.; Vert, J.-P.). MIT Press, Cambridge, MA, USA (2004)

Goldenberg, A.; Hertz, T.; Leslie, C.; Qi, Y.; Rätsch, G.; Vert, J.-P. (Eds.): NIPS 2011 Workshop Machine Learning in Computational Biology. NIPS 2011 Workshop Machine Learning in Computational Biology, Melia Sierra Nevada, Spain, December 17, 2011. (2011)

Machine Learning in Computational Biology. NIPS 2010 Workshop: Machine Learning in Computational Biology (MLCB 2010), Whistler, BC, Canada, December 10, 2010 - December 11, 2010. (2010)

Chechik, G.; Leslie, C.; Noble, W.; Rätsch, G.; Morris, Q.; Tsuda, K. (Eds.): NIPS Workshop on New Problems and Methods in Computational Biology (BMC Bioinformatics, 8). NIPS Workshop on New Problems and Methods in Computational Biology 2006, Whistler, Canada, December 08, 2006. (2007)

Chechik, G.; Leslie, C.; Rätsch, G.; Tsuda, K. (Eds.): NIPS Workshop on New Problems and Methods in Computational Biology (BMC Bioinformatics, 7). NIPS Workshop on New Problems and Methods in Computational Biology 2004, Whistler, Canada, December 08, 2004. (2006)

Widmer, C.; Kloft, M.; Görnitz, N.; Rätsch, G.: Efficient Training of Graph-Regularized Multitask SVMs. In: Machine Learning and Knowledge Discovery in Databases European Conference, ECML PKDD 2012, pp. 633 - 647 (Eds. Flach, P.; De Bie, T.; Cristianini, N.). European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2012), Bristol, UK, September 24, 2012 - September 28, 2012. Springer, Berlin, Germany (2012)

Goernitz, N.; Widmer, C.; Zeller, G.; Kahles, A.; Rätsch, G.; Sonnenburg, S.: Hierarchical Multitask Structured Output Learning for Large-scale Sequence Segmentation. In: Advances in Neural Information Processing Systems 24, pp. 2690 - 2698 (Eds. Shawe-Taylor, J.; Zemel, R.; Bartlett, P.; Pereira , F.; Weinberger, K.). 25th Annual Conference on Neural Information Processing Systems (NIPS 2011), Granada, Spain, December 12, 2011 - December 14, 2011. Curran, Red Hook, NY, USA (2012)

Widmer, C.; Rätsch, G.: Multitask Learning in Computational Biology. In: ICML 2011 Unsupervised and Transfer Learning Workshop, pp. 207 - 216 (Eds. Silver, D.; Guyon, I.; Taylor, G.; Dror, G.; Lemaire, V.). ICML 2011 Unsupervised and Transfer Learning Workshop, Bellevue, WA, USA, July 02, 2011. Curran, Red Hook, NY, USA (2012)

Widmer, C.; Toussaint, N.; Altun, Y.; Rätsch, G.: Multitask Multiple Kernel Learning (MT-MKL). In: NIPS 2010 Workshop: New Directions in Multiple Kernel Learning. NIPS 2010 Workshop: New Directions in Multiple Kernel Learning, Vancouver, Canada, December 11, 2010. (2010)

Toussaint, N.; Widmer, C.; Kohlbacher, O.; Rätsch, G.: Exploiting physico-chemical properties in string kernels. NIPS Workshop on Machine Learning in Computational Biology (MLCB 2019), Whistler, BC, Canada, December 10, 2009 - December 11, 2009. BMC Bioinformatics 11 (Supplement 8), S7, (2010)

Widmer, C.; Toussaint, N.; Altun, Y.; Rätsch, G.: Inferring latent task structure for Multitask Learning by Multiple Kernel Learning. NIPS Workshop on Machine Learning in Computational Biology (MLCB 2019), Whistler, BC, Canada, December 10, 2009 - December 11, 2009. BMC Bioinformatics 11 (Supplement 8), S5, (2010)

Widmer, C.; Toussaint, N.; Altun, Y.; Kohlbacher, O.; Rätsch, G.: Novel Machine Learning Methods for MHC Class I Binding Prediction. In: PRIB 2010: Pattern Recognition in Bioinformatics, pp. 98 - 109 (Eds. Dijkstra, T.; Tsivtsivadze, E.; Marchiori, E.; Heskes, T.). 5th IAPR International Conference on Pattern Recognition in Bioinformatics (PRIB 2010), Nijmegen, The Netherlands, September 22, 2010 - September 24, 2010. Springer, Berlin, Germany (2010)

Widmer, C.; Leiva, J.; Altun, Y.; Rätsch, G.: Leveraging Sequence Classification by Taxonomy-Based Multitask Learning. In: RECOMB 2010: Research in Computational Molecular Biology, pp. 522 - 534 (Ed. Berger, B.). 14th International Conference on Research in Computational Molecular Biology (RECOMB 2010), Lisboa, Portugal, April 25, 2010 - April 28, 2010. Springer, Berlin, Germany (2010)

Schweikert, G.; Widmer, C.; Schölkopf, B.; Rätsch, G.: An Empirical Analysis of Domain Adaptation Algorithms for Genomic Sequence Analysis. In: Advances in neural information processing systems 21, pp. 1433 - 1440 (Eds. Koller, D.; Schuurmans, D.; Bengio, Y.; Bottou, L.). Twenty-Second Annual Conference on Neural Information Processing Systems (NIPS 2008), Vancouver, BC, Canada, December 08, 2008 - December 10, 2008. Curran, Red Hook, NY, USA (2009)