Ulf Brefeld
Prof. Dr.
- Informatics
- Business informatics
Research areas
- 2011
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 contributions › Journal articles › Research › peer-review
- 2010
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 contributions › Journal articles › Research › peer-review
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 Verlag, p. 351-362 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 5996 LNCS, no. PART 3).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
Eighth Workshop on Mining and Learning with Graphs
Brefeld, U., Getoor, L. & Macskassy, S. A., 2010, In: ACM SIGKDD Explorations. 12, 2, p. 63-65 3 p.Research output: Journal contributions › Conference abstract in journal › Research › peer-review
- 2009
Active learning for network intrusion detection
Görnitz, N., Kloft, M., Rieck, K. & Brefeld, U., 09.11.2009, AISec '09: Proceedings of the ACM Conference on Computer and Communications Security. Balfanz, D. & Staddon, J. (eds.). New York: Association for Computing Machinery, Inc, p. 47-54 8 p.Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
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. (eds.). Berlin, Heidelberg: Springer Verlag, p. 407-422 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 5781 LNAI, no. PART 1).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
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. (eds.). Neural Information Processing Systems, p. 997-1005 9 p. (Advances in Neural Information Processing Systems; vol. 22).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
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. (eds.). Heidelberg: Springer Verlag, p. 692-704 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 5781 LNAI, no. PART 1).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- 2008
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. (eds.). New York: Association for Computing Machinery, Inc, p. 71-76 6 p.Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
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. (eds.). Berlin, Heidelberg: Springer Verlag, p. 611-623 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 5211 LNAI, no. PART 1).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review