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  1. Supervised clustering of streaming data for email batch detection

    Haider, P., Brefeld, U. & Scheffer, T., 2007, Proceedings of the 24th international conference on Machine learning. Ghahramani, Z. (ed.). New York: Association for Computing Machinery, Inc, p. 345-352 8 p.

    Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review

  2. Transductive support vector machines for structured variables

    Zien, A., Brefeld, U. & Scheffer, T., 2007, Proceedings of the 24th international conference on Machine learning. New York: Association for Computing Machinery, Inc, p. 1183-1190 8 p.

    Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review

  3. Efficient co-regularised least squares regression

    Brefeld, U., Gärtner, T., Scheffer, T. & Wrobel, S., 01.01.2006, Proceedings of the 23rd international conference on Machine learning. Cohen, W. (ed.). Association for Computing Machinery, Inc, p. 137-144 8 p. (ACM International Conference Proceeding Series; vol. 148).

    Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review

  4. Semi-supervised learning for structured output variables

    Brefeld, U. & Scheffer, T., 01.01.2006, Proceedings of the 23rd international conference on Machine learning. Cohen, W. & Moore, A. (eds.). Association for Computing Machinery, Inc, p. 145-152 8 p.

    Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review

  5. Systematic feature evaluation for gene name recognition

    Hakenberg, J., Bickel, S., Plake, C., Brefeld, U., Zahn, H., Faulstich, L., Leser, U. & Scheffer, T., 24.05.2005, In: BMC Bioinformatics. 6, SUPPL.1, 11 p., S9.

    Research output: Journal contributions › Journal articles › Research › peer-review

  6. Multi-view discriminative sequential learning

    Brefeld, U., Büscher, C. & Scheffer, T., 01.01.2005, Machine Learning: ECML 2005: 16th European Conference on Machine Learning. Springer, p. 60-71 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 3720 LNAI).

    Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review

  7. Using an adaptive memory strategy to improve a multistart heuristic for sequencing by hybridization

    Fernandes, E. R. & Ribeiro, C. C., 01.01.2005, Experimental and Efficient Algorithms: 4th International Workshop, WEA 2005, Santorini Island, Greece, May 10-13, 2005; Proceedings. Nikoletseas, S. E. (ed.). Berlin: Springer, p. 4-15 12 p. (Lecture Notes in Computer Science; vol. 3503).

    Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review

  8. AUC Maximizing Support Vector Learning

    Brefeld, U. & Scheffer, T., 2005, ROC Analysis in Machine Learning. 8 p.

    Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review

  9. Multi-view hidden markov perceptrons

    Brefeld, U., Büscher, C. & Scheffer, T., 2005, Lernen, Wissensentdeckung und Adaptivitat, LWA 2005. Bauer, M., Brandherm, B., Fürnkranz, J., Grieser, G., Hotho, A., Jedlitschka, A. & Kröner, A. (eds.). Saarbrücken: Gesellschaft für Informatik e.V., p. 134-138 5 p.

    Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review

  10. Published

    Co-EM Support Vector learning

    Brefeld, U. & Scheffer, T., 2004, Proceeding ICML '04 Proceedings of the twenty-first international conference on Machine learning. New York: Association for Computing Machinery, Inc, p. 121-128 8 p. (Proceedings, Twenty-First International Conference on Machine Learning, ICML 2004).

    Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review

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