Items in division
- TU Darmstadt (106581)
- 20 Department of Computer Science (16029)
- Knowledge Mining and Assessment (49)
- 20 Department of Computer Science (16029)
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, Bibliographie
Görnitz, N. ; Kloft, M. ; Rieck, K. ; Brefeld, U. (2012)
Toward Supervised Anomaly Detection.
In: Journal of Artificial Intelligence Research, accepted
Article, Bibliographie
Haider, P. ; Chiarandini, L. ; Brefeld, U. (2012)
Discriminative Clustering for Market Segmentation.
Conference or Workshop Item, Bibliographie
Haider, P. ; Chiarandini, L. ; Brefeld, U. ; Jaimes, A. (2012)
Dynamic Contextual Models for User Interaction on the Web.
Conference or Workshop Item, Bibliographie
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, Bibliographie
Haider, P. ; Chiarandini, L. ; Brefeld, U. (2011)
Behavioral User Models for Yahoo! News.
Conference or Workshop Item, Bibliographie
Giannopoulos, G. ; Brefeld, U. ; Dalamagas, T. ; Sellis, T. (2011)
Learning to Rank User Intent.
Conference or Workshop Item, Bibliographie
Amodeo, G. ; Blanco, R. ; Brefeld, U. (2011)
Hybrid Models for Future Event Prediction.
Conference or Workshop Item, Bibliographie
Fernandes, E. R. ; Brefeld, U. (2011)
Learning from Partially Annotated Sequences.
Conference or Workshop Item, Bibliographie
Brefeld, U. ; Cambazoglu, B. B. ; Junqueira, F. P. (2011)
Document Assignment in Multi-Site Search Engines.
Conference or Workshop Item, Bibliographie
Brefeld, U. ; Getoor, L. ; Macskassy, S. A. (2010)
Eighth workshop on mining and learning with graphs.
In: SIGKDD Explorations, 12 (2)
Article, Bibliographie
Rieck, K. ; Krüger, T. ; Brefeld, U. ; Müller, K.-R. (2010)
Approximate Tree Kernels.
In: Journal of Machine Learning Research, 11
Article, Bibliographie
Kloft, M. ; Brefeld, U. ; Sonnenburg, S. ; Laskov, P. ; Müller, K.-R. ; Zien, A. (2010)
Efficient and Accurate $ell_p$-norm Multiple Kernel Learning.
Conference or Workshop Item, Bibliographie
Kloft, M. ; Brefeld, U. ; Sonnenburg, S. ; Zien, A. (2010)
Non-Sparse Regularization and Efficient Training with Multiple Kernels.
Report, Bibliographie
Kloft, M. ; Brefeld, U. ; Sonnenburg, S. ; Zien, A. (2009)
Comparing Sparse and Non-sparse Multiple Kernel Learning.
Conference or Workshop Item, Bibliographie
Kloft, M. ; Brefeld, U. ; Sonnenburg, S. ; Zien, A. ; Laskov, P. ; Müller, K.-R. (2009)
Learning Non-Sparse Kernel Mixtures.
Conference or Workshop Item, Bibliographie
Binder, A. ; Kawanabe, M. ; Brefeld, U. (2009)
Efficient Classification of Images with Taxonomies.
Conference or Workshop Item, Bibliographie
Görnitz, N. ; Kloft, M. ; Brefeld, U. (2009)
Active and Semi-supervised Data Domain Description.
Conference or Workshop Item, Bibliographie
Kloft, M. ; Nakajima, S. ; Brefeld, U. (2009)
Feature Selection for Density Level-Sets.
Conference or Workshop Item, Bibliographie
Nakajima, S. ; Binder, A. ; Müller, C. ; Wojcikiewicz, W. ; Kloft, M. ; Brefeld, U. ; Müller, K.-R. ; Kawanabe, M. (2009)
Multiple Kernel Learning for Object Classification.
Conference or Workshop Item, Bibliographie
Görnitz, N. ; Kloft, M. ; Rieck, K. ; Brefeld, U. (2009)
Active Learning for Network Intrusion Detection.
Conference or Workshop Item, Bibliographie
Rieck, K. ; Brefeld, U. ; Krüger, T. (2008)
Approximate Kernels for Trees.
Report, Bibliographie
Klein, T. ; Brefeld, U. ; Scheffer, T. (2008)
Exact and approximate inference for annotating graphs with structural {SVMs}.
Conference or Workshop Item, Bibliographie
Kloft, M. ; Brefeld, U. ; Laskov, P. ; Sonnenburg, S. (2008)
Non-sparse multiple kernel learning.
Conference or Workshop Item, Bibliographie
Kloft, M. ; Brefeld, U. ; Düssel, P. ; Gehl, C. ; Laskov, P. (2008)
Automatic feature selection for anomaly detection.
Conference or Workshop Item, Bibliographie
Brefeld, U. ; Haider, P. ; Scheffer, T. (2007)
Supervised clustering for spam detection in data streams.
Conference or Workshop Item, Bibliographie
Brefeld, U. ; Klein, T. ; Scheffer, T. (2007)
Support vector machines for collective inference.
Conference or Workshop Item, Bibliographie
Zien, A. ; Brefeld, U. ; Scheffer, T. (2007)
Transductive support vector machines for structured variables.
Conference or Workshop Item, Bibliographie
Haider, P. ; Brefeld, U. ; Scheffer, T. (2007)
Supervised clustering of streaming data for email batch detection.
Conference or Workshop Item, Bibliographie
Brefeld, U. ; Scheffer, T. (2006)
Semi-supervised learning for structured output variables.
Conference or Workshop Item, Bibliographie
Brefeld, U. ; Gärtner, T. ; Scheffer, T. ; Wrobel, S. (2006)
Efficient co-regularised least squares regression.
Conference or Workshop Item, Bibliographie
Brefeld, U. ; Büscher, C. ; Scheffer, T. (2005)
Multi-view Hidden Markov Perceptrons.
Conference or Workshop Item, Bibliographie
Brefeld, U. ; Büscher, C. ; Scheffer, T. (2005)
Multi-view discriminative sequential learning.
Conference or Workshop Item, Bibliographie
Brefeld, U. ; Scheffer, T. (2005)
{AUC} maximizing support vector learning.
Conference or Workshop Item, Bibliographie
eds.: Abecker, A. ; Bickel, S. ; Brefeld, U. ; Drost, I. ; Henze, N. ; Herden, O. ; Minor, M. ; Scheffer, T. ; Stojanovic, L. ; Weibelzahl, S. (2004)
Proceedings of the Workshops on Learning, Knowledge Discovery, and Adaptivity (LWA).
Book, Bibliographie
Brefeld, U. ; Bickel, S. ; Scheffer, T. (2004)
Multi-View Lernen.
Conference or Workshop Item, Bibliographie
Geibel, P. ; Brefeld, U. ; Wysotzki, F. (2004)
Perceptron and {SVM} Learning with Generalized Cost Models.
In: Intelligent Data Analysis, 8 (5)
Article, Bibliographie
Brefeld, U. ; Scheffer, T. (2004)
Co-{EM} support vector learning.
Conference or Workshop Item, Bibliographie
Bickel, S. ; Brefeld, U. ; Faulstich, L. ; Hakenberg, J. ; Leser, U. ; Plake, C. ; Scheffer, T. (2004)
A Support Vector Machine Classifier for Gene Name Recognition.
Conference or Workshop Item, Bibliographie
Brefeld, U. ; Geibel, P. ; Wysotzki, F. (2003)
Support vector machines with example dependent costs.
Conference or Workshop Item, Bibliographie
Geibel, P. ; Brefeld, U. ; Wysotzki, F. (2003)
Learning linear classifiers sensitive to example dependent and noisy costs.
Conference or Workshop Item, Bibliographie
English
Tavakol, Maryam (2019)
Contextual Models for Sequential Recommendation.
Technische Universität Darmstadt
Ph.D. Thesis, Primary publication
Kloft, M. ; Brefeld, U. ; Sonnenburg, S. ; Zien, A. (2011)
lp-Norm Multiple Kernel Learning.
In: Journal of Machine Learning Research, 12
Article, Bibliographie
Rathke, F. ; Hansen, K. ; Brefeld, U. ; Müller, K.-R. (2011)
StructRank: A New Approach for Ligand-Based Virtual Screening.
In: Journal of Chemical Information Modeling, 51
Article, Bibliographie
eds.: Brefeld, U. ; Getoor, L. ; Macskassy, S. A. (2010)
MLG 2010: Proceedings of the Eighth Workshop on Mining and Learning with Graphs.
Book, Bibliographie
eds.: Brefeld, U. ; Piskorski, J. ; Yangarber, R. (2009)
MINUCS-2009 : Proceedings of the UCMedia Workshop on Mining User Generated Content for Security.
Book, Bibliographie
eds.: Blohm, S. ; Brefeld, U. ; Jungermann, F. ; Yangarber, R. (2008)
Proceedings of the ECML PKDD Workshop on High-level Information Extraction : 19. September 2008, Antwerp, Belgium.
Book, Bibliographie
eds.: Brefeld, U. ; Joachims, T. ; Taskar, B. ; Xing, E. P. (2006)
Proceedings of the ICML Workshop on Learning in Structured Output Spaces.
Book, Bibliographie
Hakenberg, J. ; Bickel, S. ; Plake, C. ; Brefeld, U. ; Zahn, H. ; Faulstich, L. ; Leser, U. ; Scheffer, T. (2005)
Systematic feature evaluation for gene name recognition.
In: BMC Bioinformatics, 6 (Suppl. 1)
doi: 10.1186/1471-2105-6-S1-S9
Article, Bibliographie