Ulf Brefeld

Prof. Dr.

Ulf Brefeld

Kontakt

Prof. Dr. Ulf Brefeld

  1. 2011
  2. 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. (Hrsg.). PART 1 Aufl. Heidelberg, Berlin: Springer, S. 407-422 16 S. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Band 6911 LNAI, Nr. PART 1).

    Publikation: Beiträge in SammelwerkenAufsätze in KonferenzbändenForschungbegutachtet

  3. 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, S. 195-200 6 S.

    Publikation: Beiträge in SammelwerkenAufsätze in KonferenzbändenForschungbegutachtet

  4. lp-Norm Multiple Kernel Learning

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

    Publikation: Beiträge in ZeitschriftenZeitschriftenaufsätzeForschungbegutachtet

  5. 2010
  6. Approximate tree kernels

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

    Publikation: Beiträge in ZeitschriftenZeitschriftenaufsätzeForschungbegutachtet

  7. 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

  8. 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

  9. 2009
  10. Active and semi-supervised data domain description

    Görnitz, N., Kloft, M. & Brefeld, U., 01.07.2009, Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2009, Bled, Slovenia, September 7-11, 2009, Proceedings, Part I. Buntine, W., Grobelnik, M., Mladenic, D. & Shawe-Taylor, J. (Hrsg.). Berlin, Heidelberg: Springer, S. 407-422 16 S. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Band 5781 LNAI, Nr. PART 1).

    Publikation: Beiträge in SammelwerkenAufsätze in KonferenzbändenForschungbegutachtet

  11. Erschienen

    Active learning for network intrusion detection

    Görnitz, N., Kloft, M., Rieck, K. & Brefeld, U., 2009, AISec '09: Proceedings of the ACM Conference on Computer and Communications Security. Balfanz, D. & Staddon, J. (Hrsg.). New York: Association for Computing Machinery, Inc, S. 47-54 8 S.

    Publikation: Beiträge in SammelwerkenAufsätze in KonferenzbändenForschungbegutachtet

  12. 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

  13. Erschienen

    Feature selection for density level-sets

    Kloft, M., Nakajima, S. & Brefeld, U., 2009, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Buntine, W., Grobelnik, M., Mladenic, D. & Shawe-Taylor, J. (Hrsg.). Heidelberg: Springer, S. 692-704 13 S. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Band 5781 LNAI, Nr. PART 1).

    Publikation: Beiträge in SammelwerkenAufsätze in KonferenzbändenForschungbegutachtet