Ulf Brefeld

Prof. Dr.

  1. 2010
  2. Approximate tree kernels

    Rieck, K., Krueger, T., Brefeld, U. & Müller, K. R., 02.2010, In: Journal of Machine Learning Research. 11, p. 555-580 26 p.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  3. 2011
  4. Document assignment in multi-site search engines

    Brefeld, U., Barla Cambazoglu, B. & Junqueira, F. R., 2011, Proceedings of the fourth ACM international conference on Web search and data mining . New York: Association for Computing Machinery, Inc, p. 575-584 10 p.

    Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

  5. Hybrid models for future event prediction

    Amodeo, G., Blanco, R. & Brefeld, U., 2011, Proceedings of the 20th ACM international conference on Information and knowledge management. Berendt, B., de Vries, A., Fan, W., Macdonald, C., Ounis, I. & Ruthven, I. (eds.). New York: Association for Computing Machinery, Inc, p. 1981-1984 4 p.

    Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

  6. Learning from partially annotated sequences

    Fernandes, E. R. & Brefeld, U., 2011, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2011, Proceedings. Gunopulos, D., Hofmann, T., Malerba, D. & Vazirgiannis, M. (eds.). PART 1 ed. Heidelberg, Berlin: Springer, p. 407-422 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 6911 LNAI, no. PART 1).

    Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

  7. Learning to rank user intent

    Giannopoulos, G., Brefeld, U., Dalamagas, T. & Sellis, T., 2011, Proceedings of the 20th ACM international conference on Information and knowledge management . Association for Computing Machinery, Inc, p. 195-200 6 p.

    Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

  8. lp-Norm Multiple Kernel Learning

    Kloft, M., Brefeld, U., Sonnenburg, S. & Zien, A., 2011, In: Journal of Machine Learning Research. 2011, 12, p. 953-997 45 p.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  9. Structrank: A new approach for ligand-based virtual Screening

    Rathke, F., Hansen, K., Brefeld, U. & Müller, K. R., 24.01.2011, In: Journal of Chemical Information and Modeling. 51, 1, p. 83-92 10 p.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  10. p-norm multiple kernel learning

    Kloft, M., Brefeld, U., Sonnenburg, S. & Zien, A., 03.2011, In: Journal of Machine Learning Research. 12, p. 953-997 45 p.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  11. 2012
  12. Discriminative clustering for market segmentation

    Haider, P., Chiarandini, L. & Brefeld, U., 2012, Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining. New York: Association for Computing Machinery, Inc, p. 417-425 9 p.

    Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

  13. Insights from classifying visual concepts with multiple kernel learning

    Binder, A., Nakajima, S., Kloft, M., Müller, C., Samek, W., Brefeld, U., Müller, K. R. & Kawanabe, M., 24.08.2012, In: PLoS ONE. 7, 8, e38897.

    Research output: Journal contributionsJournal articlesResearchpeer-review

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