Publications of A Zien

Sonnenburg, S.; Zien, A.; Behr, J.; Schweikert, G.; Philips, P.; Rätsch, G.: Large Scale Machine Learning for Genomic Sequence Analysis (Support Vector Machine Based Signal Detectors). Eberhard-Karls-Universität, Tübingen, Germany (2009)

Sonnenburg, S.; Zien, A.; Behr, J.; Schweikert, G.; Philips, P.; Rätsch, G.: Accurate and Interpretable Large Scale Genomic Signal Detection (Support Vector Machine Based Signal Detectors). Max-Planck-Institut für Molekulare Genetik, Berlin, Germany (2009)

Sonnenburg, S.; Zien, A.; Philips, P.; Rätsch, G.: Positional Oligomer Importance Matrices. NIPS 2007 Workshop on Machine Learning in Computational Biology (MLCB 2007), Whistler, BC, Canada (2007)

Schweikert, G.; Zeller, G.; Zien, A.; Ong, C.; De Bona, F.; Sonnenburg, S.; Phillips, P.; Rätsch, G.: Ab-initio gene finding using machine learning. NIPS 2006 Workshop on New Problems and Methods in Computational Biology (MLCB 2006), Vancouver, BC, Canada (2006)

De Bona, F.; Ong, C.; Zien, A.; Rätsch, G.: RNA secondary structure prediction using large margin methods. 15th Annual International Conference on Intelligent Systems for Molecular Biology & 6th European Conference on Computational Biology (ISMB/ECCB 2007), Wien, Austria (2007)

Schweikert, G.; Zien, A.; Zeller, G.; Ong, C.; De Bona, F.; Sonnenburg, S.; Philips, P.; Rätsch, G.: mGene: A Novel Discriminative Gene Finding System. 15th Annual International Conference on Intelligent Systems for Molecular Biology, 6th Annual European Conference on Computational Biology (ISMB/ECCB 2007), Wien, Austria (2007)

Zien, A.; Ong, C.: An Automated Combination of Sequence Motif Kernels for Protein Subcellular Localization. 14th International Conference on Intelligent Systems for Molecular Biology (ISMB 2006), Fortaleza, Brazil (2006)

Kloft, M.; Brefeld, U.; Sonnenburg, S.; Zien, A.: Non-Sparse Regularization and Efficient Training with Multiple Kernels. Electrical Engineering and Computer Sciences: University of California at Berkeley, Berkeley, CA, USA (2010), 43 pp.

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)

Zien, A.; Philips, P.; Sonnenburg, S.: Computing Positional Oligomer Importance Matrices (POIMs) (FIRST Reports, 2/2007). (2007), 12 pp.

Zien, A.; Rätsch, G.; Ong, C.: Towards the Inference of Graphs on Ordered Vertexes (Technical Report of the Max Planck Institute for Biological Cybernetics, 150). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2006), 9 pp.

Zien, A.; Ong, C.: An Automated Combination of Sequence Motif Kernels for Predicting Protein Subcellular Localization (Technical Report of the Max Planck Institute for Biological Cybernetics, 146). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2006), 18 pp.

Kloft, M.; Brefeld, U.; Sonnenburg, S.; Zien, A.: Non-Sparse Regularization for Multiple Kernel Learning. (submitted)