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Einträge mit Organisationseinheit "20 Fachbereich Informatik > Knowledge Mining and Assessment"

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Anzahl der Einträge auf dieser Ebene: 43.

A

Amodeo, G. ; Blanco, R. ; Brefeld, U. :
Hybrid Models for Future Event Prediction.
Proceedings of the International ACM Conference on Information and Knowledge Management
[Konferenz- oder Workshop-Beitrag], (2011)

B

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

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

[Report], (2011)

Brefeld, U. ; Cambazoglu, B. B. ; Junqueira, F. P. :
Document Assignment in Multi-Site Search Engines.
Proceedings of the International Conference on Web Search and Data Mining
[Konferenz- oder Workshop-Beitrag], (2011)

Brefeld, U. ; Getoor, L. ; Macskassy, S. A. :
Eighth workshop on mining and learning with graphs.
In: SIGKDD Explorations, 12(2) pp. 63-65.
[Artikel], (2010)

Binder, A. ; Kawanabe, M. ; Brefeld, U. :
Efficient Classification of Images with Taxonomies.
Proceedings of the Asian Conference on Computer Vision
[Konferenz- oder Workshop-Beitrag], (2009)

Brefeld, U. ; Haider, P. ; Scheffer, T. :
Supervised clustering for spam detection in data streams.
Proceedings of the NIPS Workshop on Machine Learning in Adversarial Environments for Computer Security
[Konferenz- oder Workshop-Beitrag], (2007)

Brefeld, U. ; Klein, T. ; Scheffer, T. :
Support vector machines for collective inference.
Proceedings of the Workshop on Mining and Learning with Graphs
[Konferenz- oder Workshop-Beitrag], (2007)

Brefeld, U. ; Gärtner, T. ; Scheffer, T. ; Wrobel, S. :
Efficient co-regularised least squares regression.
Proceedings of the International Conference on Machine Learning
[Konferenz- oder Workshop-Beitrag], (2006)

Brefeld, U. ; Scheffer, T. :
Semi-supervised learning for structured output variables.
Proceedings of the International Conference on Machine Learning
[Konferenz- oder Workshop-Beitrag], (2006)

Brefeld, U. ; Scheffer, T. :
{AUC} maximizing support vector learning.
Proceedings of the ICML Workshop on ROC Analysis in Machine Learning
[Konferenz- oder Workshop-Beitrag], (2005)

Brefeld, U. ; Büscher, C. ; Scheffer, T. :
Multi-view discriminative sequential learning.
Proceedings of the European Conference on Machine Learning
[Konferenz- oder Workshop-Beitrag], (2005)

Brefeld, U. ; Büscher, C. ; Scheffer, T. :
Multi-view Hidden Markov Perceptrons.
Proceedings of the German Workshop on Machine Learning (FGML)
[Konferenz- oder Workshop-Beitrag], (2005)

Brefeld, U. ; Bickel, S. ; Scheffer, T. :
Multi-View Lernen.
Proceedings of the German Workshop on Machine Learning (FGML)
[Konferenz- oder Workshop-Beitrag], (2004)

Bickel, S. ; Brefeld, U. ; Faulstich, L. ; Hakenberg, J. ; Leser, U. ; Plake, C. ; Scheffer, T. :
A Support Vector Machine Classifier for Gene Name Recognition.
Proceedings of BioCreative / EMBO Workshop: A Critical Assessment of Text Mining Methods in Molecular Biology
[Konferenz- oder Workshop-Beitrag], (2004)

Brefeld, U. ; Scheffer, T. :
Co-{EM} support vector learning.
Proceedings of the International Conference on Machine Learning
[Konferenz- oder Workshop-Beitrag], (2004)

Brefeld, U. ; Geibel, P. ; Wysotzki, F. :
Support vector machines with example dependent costs.
Proceedings of the European Conference on Machine Learning
[Konferenz- oder Workshop-Beitrag], (2003)

F

Fernandes, E. R. ; Brefeld, U. :
Learning from Partially Annotated Sequences.
Proceedings of the European Conference on Machine Learning
[Konferenz- oder Workshop-Beitrag], (2011)

G

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

Giannopoulos, G. ; Brefeld, U. ; Dalamagas, T. ; Sellis, T. :
Learning to Rank User Intent.
Proceedings of the International ACM Conference on Information and Knowledge Management
[Konferenz- oder Workshop-Beitrag], (2011)

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

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

Geibel, P. ; Brefeld, U. ; Wysotzki, F. :
Perceptron and {SVM} Learning with Generalized Cost Models.
In: Intelligent Data Analysis, 8(5) pp. 439-455.
[Artikel], (2004)

Geibel, P. ; Brefeld, U. ; Wysotzki, F. :
Learning linear classifiers sensitive to example dependent and noisy costs.
Proceedings of the International Symposium on Intelligent Data Analysis
[Konferenz- oder Workshop-Beitrag], (2003)

H

Haider, P. ; Chiarandini, L. ; Brefeld, U. ; Jaimes, A. :
Dynamic Contextual Models for User Interaction on the Web.
ECML/PKDD Workshop on Mining and Exploiting Interpretable Local Patterns (I-PAT)
[Konferenz- oder Workshop-Beitrag], (2012)

Haider, P. ; Chiarandini, L. ; Brefeld, U. :
Discriminative Clustering for Market Segmentation.
Proceedings of the ACM SIGKDD Conference on Knowledge Discovery and Data Mining
[Konferenz- oder Workshop-Beitrag], (2012)

Haider, P. ; Chiarandini, L. ; Brefeld, U. :
Behavioral User Models for Yahoo! News.
Proceedings of TechPulse
[Konferenz- oder Workshop-Beitrag], (2011)

Haider, P. ; Brefeld, U. ; Scheffer, T. :
Supervised clustering of streaming data for email batch detection.
Proceedings of the International Conference on Machine Learning
[Konferenz- oder Workshop-Beitrag], (2007)

Hakenberg, J. ; Bickel, S. ; Plake, C. ; Brefeld, U. ; Zahn, H. ; Faulstich, L. ; Leser, U. ; Scheffer, T. :
Systematic feature evaluation for gene name recognition.
In: BMC Bioinformatics, 6(1) S9.
[Artikel], (2005)

K

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

Kloft, M. ; Brefeld, U. ; Sonnenburg, S. ; Zien, A. :
Non-Sparse Regularization and Efficient Training with Multiple Kernels.

[Report], (2010)

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

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

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

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

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

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

Klein, T. ; Brefeld, U. ; Scheffer, T. :
Exact and approximate inference for annotating graphs with structural {SVMs}.
Proceedings of the European Conference on Machine Learning
[Konferenz- oder Workshop-Beitrag], (2008)

N

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

R

Rathke, F. ; Hansen, K. ; Brefeld, U. ; Müller, K.-R. :
StructRank: A New Approach for Ligand-Based Virtual Screening.
In: Journal of Chemical Information Modeling, 51 83--92.
[Artikel], (2011)

Rieck, K. ; Krüger, T. ; Brefeld, U. ; Müller, K.-R. :
Approximate Tree Kernels.
In: Journal of Machine Learning Research, 11 pp. 555-580.
[Artikel], (2010)

Rieck, K. ; Brefeld, U. ; Krüger, T. :
Approximate Kernels for Trees.

[Report], (2008)

Z

Zien, A. ; Brefeld, U. ; Scheffer, T. :
Transductive support vector machines for structured variables.
Proceedings of the International Conference on Machine Learning
[Konferenz- oder Workshop-Beitrag], (2007)

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