Ulf Brefeld
Ulf Brefeld
Verified email at leuphana.de - Homepage
TitleCited byYear
Lp-norm multiple kernel learning
M Kloft, U Brefeld, S Sonnenburg, A Zien
Journal of Machine Learning Research 12 (Mar), 953-997, 2011
3612011
Efficient and accurate lp-norm multiple kernel learning
M Kloft, U Brefeld, P Laskov, KR Müller, A Zien, S Sonnenburg
Advances in neural information processing systems, 997-1005, 2009
2992009
Efficient co-regularised least squares regression
U Brefeld, T Gärtner, T Scheffer, S Wrobel
Proceedings of the 23rd international conference on Machine learning, 137-144, 2006
1962006
Co-EM support vector learning
U Brefeld, T Scheffer
Proceedings of the twenty-first international conference on Machine learning, 16, 2004
1822004
AUC maximizing support vector learning
U Brefeld, T Scheffer
Proceedings of the ICML 2005 workshop on ROC Analysis in Machine Learning, 2005
1512005
Toward supervised anomaly detection
N Görnitz, M Kloft, K Rieck, U Brefeld
Journal of Artificial Intelligence Research 46, 235-262, 2013
1422013
Non-sparse multiple kernel learning
M Kloft, U Brefeld, P Laskov, S Sonnenburg
NIPS Workshop on Kernel Learning: Automatic Selection of Optimal Kernels 4, 5, 2008
1182008
Semi-supervised learning for structured output variables
U Brefeld, T Scheffer
Proceedings of the 23rd international conference on Machine learning, 145-152, 2006
812006
Support vector machines with example dependent costs
U Brefeld, P Geibel, F Wysotzki
European Conference on Machine Learning, 23-34, 2003
792003
Multi-view discriminative sequential learning
U Brefeld, C Büscher, T Scheffer
European Conference on Machine Learning, 60-71, 2005
622005
Automatic feature selection for anomaly detection
M Kloft, U Brefeld, P Düessel, C Gehl, P Laskov
Proceedings of the 1st ACM workshop on Workshop on AISec, 71-76, 2008
562008
Active learning for network intrusion detection
N Görnitz, M Kloft, K Rieck, U Brefeld
Proceedings of the 2nd ACM workshop on Security and artificial intelligence …, 2009
552009
Transductive support vector machines for structured variables
A Zien, U Brefeld, T Scheffer
Proceedings of the 24th international conference on Machine learning, 1183-1190, 2007
552007
Systematic feature evaluation for gene name recognition
J Hakenberg, S Bickel, C Plake, U Brefeld, H Zahn, L Faulstich, U Leser, ...
BMC bioinformatics 6 (1), S9, 2005
422005
Factored MDPs for detecting topics of user sessions
M Tavakol, U Brefeld
Proceedings of the 8th ACM Conference on Recommender Systems, 33-40, 2014
372014
Hybrid models for future event prediction
G Amodeo, R Blanco, U Brefeld
Proceedings of the 20th ACM international conference on Information and …, 2011
372011
Active and semi-supervised data domain description
N Görnitz, M Kloft, U Brefeld
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2009
362009
Supervised clustering of streaming data for email batch detection
P Haider, U Brefeld, T Scheffer
Proceedings of the 24th international conference on Machine learning, 345-352, 2007
342007
Non-sparse regularization and efficient training with multiple kernels
M Kloft, U Brefeld, S Sonnenburg, A Zien
arXiv preprint arXiv:1003.0079 186, 189-190, 2010
302010
Approximate tree kernels
K Rieck, T Krueger, U Brefeld, KR MÞller
Journal of Machine Learning Research 11 (Feb), 555-580, 2010
302010
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