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Domain Adaption and Multi-task Learning
People specializing in this area
Publications
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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.
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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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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.
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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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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.
http://www.biomedcentral.com/1471-2105/11/S8/S5
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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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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.
/raetsch/suppl/genomedomainadaptation
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Widmer, C (2008).
Domain Adaptation in Sequence Analysis
Diplomarbeit, University of Tübingen.
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