Publications of Christian Widmer
| 2012 |
Widmer, C, Kloft, M, Görnitz, N, and Rätsch, G
(2012). Efficient Training of Graph-Regularized Multitask SVMs In: Proceedings of ECML 2012, Springer. Lecture Notes in Computer Science. |
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Widmer, C and Rätsch, G
(2012). Multitask Learning in Computational Biology In: ICML 2011 Unsupervised and Transfer Learning Workshop, ed. by Isabelle Guyon and Danny Silver, vol. 27, pp. 207-216, JMLR W&CP. |
| 2011 |
Görnitz, N, Widmer, C, Zeller, G, Kahles, A, Sonnenburg, S, and Rätsch, G
(2011). Hierarchical Multitask Structured Output Learning for Large-scale Sequence Segmentation In: Advances in Neural Information Processing Systems (NIPS'11), NIPS Foundation. |
| 2010 |
Widmer, C, Leiva, J, Altun, Y, and Rätsch, G
(2010). Leveraging Sequence Classification by Taxonomy-based Multitask Learning In: Proc. RECOMB'10. |
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Sonnenburg, S, Rätsch, G, Henschel, S, Widmer, C, Behr, J, Zien, A, de Bona, F, Binder, A, Gehl, C, and Franc, V
(2010). The SHOGUN Machine Learning Toolbox Journal of Machine Learning Research, 11:1799-1802. |
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Widmer, C, Toussaint, N, Altun, Y, Kohlbacher, O, and Rätsch, G
(2010). Novel Machine Learning Methods for MHC Class I Binding Prediction In: Proc. Pattern Recognition in Bioinformatics, Springer. Lecture Notes in Computer Science. |
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Toussaint, NC, Widmer, C, Kohlbacher, O, and Rätsch, G
(2010). Exploiting Physico-Chemical Properties in String Kernels BMC Bioinformatics, 11(Suppl. 8):S7. |
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Widmer, C, Toussaint, N, Altun, Y, and Rätsch, G
(2010). Inferring Latent Task Structure for Multi-Task Learning by Multiple Kernel Learning BMC Bioinformatics, 11(Suppl. 8):S5. |
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Spencer, WC, Zeller, G, Watson, JD, Henz, SR, Watkins, KL, McWhirter, RD, Petersen, S, Sreedharan, VT, Widmer, C, Reinke, V, Petrella, L, Strome, S, Von Stetina, S, Katz, M, Rätsch, G, and Miller III, DM
(2010). A Spatial and Temporal Map of C. elegans Gene Expression Genome Research.
Supplementary website
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| 2009 |
Zeller, G, Henz, SR, Widmer, CK, Sachsenberg, T, Rätsch, G, Weigel, D, and Laubinger, S
(2009). Stress-induced changes in the Arabidopsis thaliana transcriptome analyzed using whole genome tiling arrays Plant Journal, 58(6):1068-1082. |
| 2008 |
Laubinger, S, Zeller, G, Henz, S, Sachsenberger, T, Widmer, C, Naouar, N, Vuylsteke, M, Schölkopf, B, Rätsch, G, and Weigel, D
(2008). At-TAX: a whole genome tiling array resource for developmental expression analysis and transcript identification in Arabidopsis thaliana Genome Biology, 9:R112. |
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Schweikert, G, Widmer, C, Schölkopf, B, and Rätsch, G
(2008). An empirical Analysis of Domain Adaptation Algorithms In: Proc. NIPS 2008. Advances in Neural Information Processing Systems. |
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Widmer, C
(2008). Domain Adaptation in Sequence Analysis Diplomarbeit, University of Tübingen. |
