Ulf Brefeld

Prof. Dr.

Ulf Brefeld

Kontakt

Prof. Dr. Ulf Brefeld

  1. Erschienen

    Distributed robust Gaussian Process regression

    Mair, S. & Brefeld, U., 01.05.2018, in: Knowledge and Information Systems. 55, 2, S. 415-435 21 S.

    Publikation: Beiträge in ZeitschriftenZeitschriftenaufsätzeForschungbegutachtet

  2. 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, S. 575-584 10 S.

    Publikation: Beiträge in SammelwerkenAufsätze in KonferenzbändenForschungbegutachtet

  3. Efficient and accurate ℓ p-norm multiple kernel learning

    Kloft, M., Brefeld, U., Sonnenburg, S., Laskov, P., Müller, K. R. & Zien, A., 2009, Advances in Neural Information Processing Systems 22 : Proceedings of the 23rd Annual Conference on Neural Information Processing Systems 2009. Bengio, Y., Schuurmans, D., Lafferty, J., Williams, C. & Culotta, A. (Hrsg.). Neural Information Processing Systems, S. 997-1005 9 S. (Advances in Neural Information Processing Systems; Band 22).

    Publikation: Beiträge in SammelwerkenAufsätze in KonferenzbändenForschungbegutachtet

  4. Efficient Classification of Images with Taxonomies

    Binder, A., Kawanabe, M. & Brefeld, U., 2010, Computer Vision, ACCV 2009 - 9th Asian Conference on Computer Vision, Revised Selected Papers: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Berlin, Heidelberg: Springer, S. 351-362 12 S. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Band 5996 LNCS, Nr. PART 3).

    Publikation: Beiträge in SammelwerkenAufsätze in KonferenzbändenForschungbegutachtet

  5. 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. (Hrsg.). Association for Computing Machinery, Inc, S. 137-144 8 S. (ACM International Conference Proceeding Series; Band 148).

    Publikation: Beiträge in SammelwerkenAufsätze in KonferenzbändenForschungbegutachtet

  6. Eighth Workshop on Mining and Learning with Graphs

    Brefeld, U., Getoor, L. & Macskassy, S. A., 2010, in: ACM SIGKDD Explorations. 12, 2, S. 63-65 3 S.

    Publikation: Beiträge in ZeitschriftenKonferenz-Abstracts in FachzeitschriftenForschungbegutachtet

  7. Erschienen

    Evaluating one-shot tournament predictions

    Ekstrom, C. T., Van Eetvelde, H., Ley, C. & Brefeld, U., 05.04.2021, in: Journal of Sports Analytics. 7, 1, S. 37-46 10 S.

    Publikation: Beiträge in ZeitschriftenZeitschriftenaufsätzeForschungbegutachtet

  8. Exact and approximate inference for annotating graphs with structural SVMs

    Klein, T., Brefeld, U. & Scheffer, T., 2008, Machine Learning and Knowledge Discovery in Databases: ECML PKDD 2008. Daelemans, W., Goethals, B. & Morik, K. (Hrsg.). Berlin, Heidelberg: Springer, S. 611-623 13 S. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Band 5211 LNAI, Nr. PART 1).

    Publikation: Beiträge in SammelwerkenAufsätze in KonferenzbändenForschungbegutachtet

  9. Erschienen

    Exploring the Poincaré Ellipsis

    Fadel, S., Paulsen, T. & Brefeld, U., 09.2023, 20th Machine Learning on Graphs workshop.

    Publikation: Beiträge in SammelwerkenAufsätze in KonferenzbändenForschungbegutachtet

  10. Factored MDPs for detecting topics of user sessions

    Tavakol, M. & Brefeld, U., 06.10.2014, RecSys 2014 - Proceedings of the 8th ACM Conference on Recommender Systems. Association for Computing Machinery, Inc, S. 33-40 8 S.

    Publikation: Beiträge in SammelwerkenAufsätze in KonferenzbändenForschungbegutachtet