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Group by: No Grouping | Item Type | Date | Language
Jump to: German | English
Number of items: 14.

German

Binder, A. ; Nakajima, S. ; Kloft, M. ; Müller, C. ; Samek, W. ; Brefeld, U. ; Müller, K.-R. ; Kawanabe, M. (2012):
Insights from Classifying Visual Concepts with Multiple Kernel Learning.
In: PLoS ONE, 7(8):e38897, [Article]

Görnitz, N. ; Kloft, M. ; Rieck, K. ; Brefeld, U. (2012):
Toward Supervised Anomaly Detection.
In: Journal of Artificial Intelligence Research, accepted, [Article]

Binder, A. ; Nakajima, S. ; Kloft, M. ; Müller, C. ; Samek, W. ; Brefeld, U. ; Müller, K.-R. ; Kawanabe, M. (2011):
Insights from Classifying Visual Concepts with Multiple Kernel Learning.
[Report]

Kloft, M. ; Brefeld, U. ; Sonnenburg, S. ; Laskov, P. ; Müller, K.-R. ; Zien, A. (2010):
Efficient and Accurate $ell_p$-norm Multiple Kernel Learning.
In: Advances in Neural Information Processing Systems,
[Conference or Workshop Item]

Kloft, M. ; Brefeld, U. ; Sonnenburg, S. ; Zien, A. (2010):
Non-Sparse Regularization and Efficient Training with Multiple Kernels.
(UCB/EECS-2010-21), [Report]

Görnitz, N. ; Kloft, M. ; Rieck, K. ; Brefeld, U. (2009):
Active Learning for Network Intrusion Detection.
In: Proceedings of the CCS Workshop on Security and Artificial Intelligence,
[Conference or Workshop Item]

Görnitz, N. ; Kloft, M. ; Brefeld, U. (2009):
Active and Semi-supervised Data Domain Description.
In: Proceedings of the European Conference on Machine Learning,
[Conference or Workshop Item]

Kloft, M. ; Brefeld, U. ; Sonnenburg, S. ; Zien, A. (2009):
Comparing Sparse and Non-sparse Multiple Kernel Learning.
In: Proceedings of the NIPS Workshop on Understanding Multiple Kernel Learning Methods,
[Conference or Workshop Item]

Kloft, M. ; Nakajima, S. ; Brefeld, U. (2009):
Feature Selection for Density Level-Sets.
In: Proceedings of the European Conference on Machine Learning,
[Conference or Workshop Item]

Kloft, M. ; Brefeld, U. ; Sonnenburg, S. ; Zien, A. ; Laskov, P. ; Müller, K.-R. (2009):
Learning Non-Sparse Kernel Mixtures.
In: Proceedings of the PASCAL2 Workshop on Sparsity in Machine Learning and Statistics,
[Conference or Workshop Item]

Nakajima, S. ; Binder, A. ; Müller, C. ; Wojcikiewicz, W. ; Kloft, M. ; Brefeld, U. ; Müller, K.-R. ; Kawanabe, M. (2009):
Multiple Kernel Learning for Object Classification.
In: Proceedings of the 12th Workshop on Information-based Induction Sciences,
[Conference or Workshop Item]

Kloft, M. ; Brefeld, U. ; Düssel, P. ; Gehl, C. ; Laskov, P. (2008):
Automatic feature selection for anomaly detection.
In: Proceedings of the First ACM Workshop on AISec,
[Conference or Workshop Item]

Kloft, M. ; Brefeld, U. ; Laskov, P. ; Sonnenburg, S. (2008):
Non-sparse multiple kernel learning.
In: Proceedings of the NIPS Workshop on Kernel Learning: Automatic Selection of Optimal Kernels,
[Conference or Workshop Item]

English

Kloft, M. ; Brefeld, U. ; Sonnenburg, S. ; Zien, A. (2011):
lp-Norm Multiple Kernel Learning.
In: Journal of Machine Learning Research, 12, pp. 953-997. [Article]

This list was generated on Tue Aug 16 01:34:07 2022 CEST.