Ulf Brefeld

Prof. Dr.

Ulf Brefeld

Kontakt

Prof. Dr. Ulf Brefeld

  1. 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, S. 1183-1190 8 S.

    Publikation: Beiträge in SammelwerkenAufsätze in KonferenzbändenForschungbegutachtet

  2. 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. (Hrsg.). New York: Association for Computing Machinery, Inc, S. 345-352 8 S.

    Publikation: Beiträge in SammelwerkenAufsätze in KonferenzbändenForschungbegutachtet

  3. Automatic feature selection for anomaly detection

    Kloft, M., Brefeld, U., Düssel, P., Gehl, C. & Laskov, P., 27.10.2008, Proceedings of the 1st ACM workshop on Workshop on AISec. Balfanz, D. & Staddon, J. (Hrsg.). New York: Association for Computing Machinery, Inc, S. 71-76 6 S.

    Publikation: Beiträge in SammelwerkenAufsätze in KonferenzbändenForschungbegutachtet

  4. 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

  5. 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

  6. 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

  7. 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

  8. 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

  9. p-norm multiple kernel learning

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

    Publikation: Beiträge in ZeitschriftenZeitschriftenaufsätzeForschungbegutachtet

  10. 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