Publications of B Schölkopf

Georgii, E.; Tsuda, K.; Schölkopf, B.: Multi-way set enumeration in weight tensors. Machine Learning 82 (2), pp. 123 - 155 (2011)

Graf, A.; Bousquet, O.; Rätsch, G.; Rätsch, G.; Schölkopf, B.: Prototype Classification: Insights from Machine Learning. Neural computation 21 (1), pp. 272 - 300 (2009)

Ben-Hur, A.; Ong, C.; Sonnenburg, S.; Schölkopf, B.; Rätsch, G.: Support Vector Machines and Kernels for Computational Biology. PLoS Computational Biology 4 (10), e1000173 (2008)

Laubinger, S.; Zeller, G.; Henz, S.; Sachsenberg, T.; Widmer, C.; Naouar, N.; Vuylsteke, M.; Schölkopf, B.; Rätsch, G.; Weigel, D.: At-TAX: A Whole Genome Tiling Array Resource for Developmental Expression Analysis and Transcript Identification in Arabidopsis thaliana. Genome Biology 9 (7), R112 (2008)

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)

Clark, R.; Schweikert, G.; Toomajian, C.; Ossowski , S.; Zeller, G.; Shinn, P.; Warthmann, N.; Hu, T.; Fu, G.; Hinds, D. et al.; Chen, H.; Frazer, K.; Huson, D.; Schölkopf, B.; Nordborg, M.; Rätsch, G.; Ecker, J.; Weigel, D.: Common Sequence Polymorphisms Shaping Genetic Diversity in Arabidopsis thaliana. Science 317 (5836), pp. 338 - 342 (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)

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

Georgii, E.; Tsuda, K.; Schölkopf, B.: Multi-way set enumeration in real-valued tensors. In: Proceedings of the 2nd Workshop on Data Mining using Matrices and Tensors (DMMT 2009), pp. 32 - 41 (Eds. Ding, T.; Li, C.). KDD 2009 Workshop on Data Mining using Matrices and Tensors, Paris, France, June 28, 2009. ACM Press, New York, NY, USA (2009)

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)

Sonnenburg, S.; Rätsch, G.; Schölkopf, B.: Large Scale Genomic Sequence SVM Classifiers. In: ICML '05: the 22nd international conference on Machine learning, pp. 848 - 855 (Eds. Dzeroski, S.; de Raedt, L.; Wrobel, S.). 22nd International Conference on Machine Learning (ICML 2005), Bonn, Germany, August 07, 2005 - August 11, 2005. ACM Press, New York, NY, USA (2005)

Rätsch, G.; Sonnenburg, S.; Schölkopf, B.: RASE: recognition of alternatively spliced exons in C.elegans. Thirteenth International Conference on Intelligent Systems for Molecular Biology (ISBM 2005), Detroit, MI, USA, June 25, 2005 - June 29, 2005. Bioinformatics 21 (Supplement 1), pp. i369 - i377 (2005)

Rätsch, G.; Clark, L.; Toomajian, C.; Ossowski, S.; Zeller, G.; Shinn, P.; Warthmann, N.; Hu, T.; Fu, G.; Hinds, D. et al.; Cheng, H.; Frazer, K.; Huson, D.; Schölkopf, B.; Nordborg, M.; Ecker, J.; Weigel, D.; Schneeberger, K.; Bohlen, A.: Discovering Common Sequence Variation in Arabidopsis thaliana. In 16th Annual International Conference Intelligent Systems for Molecular Biology (ISMB 2008). 16th Annual International Conference Intelligent Systems for Molecular Biology (ISMB 2008), Toronto, Canada, July 19, 2008 - July 23, 2008. (2008)

Zeller, G.; Schweikert, G.; Clark, R.; Ossowski, S.; Shin, P.; Frazer, K.; Ecker, J.; Weigel, D.; Schölkopf, B.; Rätsch, G.: Machine Learning Algorithms for Polymorphism Detection. NIPS 2007 Workshop on Machine Learning in Computational Biology (MLCB 2007), Whistler, Canada (2007)

Rätsch, G.; Sonnenburg, S.; Ong, C.; Schölkopf, B.: Accurate prediction of alternative splicing events. NIPS Workshop on Computational Biology and the Analysis of Heterogeneous Data (MLCB 2005), Whistler, BC, Canada (2005)

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)

Zeller, G.; Schweikert, G.; Clark, R.; Ossowski, S.; Warthmann, N.; Shinn, P.; Frazer, K.; Ecker, J.; Huson, D.; Weigel, D. et al.; Schölkopf, B.; Rätsch, G.: Machine Learning Algorithms for Polymorphism Detection. 14th International Conference on Intelligent Systems for Molecular Biology (ISMB 2006), Fortaleza, Brazil (2006)

Clark, R.; Ossowski, S.; Schweikert, G.; Zeller, G.; Shinn , P.; Rätsch, G.; Warthmann, N.; Fu, G.; Hinds, D.; Cheng, H. et al.; Frazer, K.; Toomajian, C.; Hu, T.; Huson, D.; Schölkopf, B.; Nordborg, M.; Ecker, J.; Weigel, D.: An Inventory of Common Sequence Polymorphisms for Arabidopsis. 17th International Conference on Arabidopsis Research (ICAR 2006), Madison, WI, USA (2006)