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Ulf Brefeld: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Ulf Brefeld, Christoph Büscher, Tobias Scheffer
    Multi-view Discriminative Sequential Learning. [Citation Graph (0, 0)][DBLP]
    ECML, 2005, pp:60-71 [Conf]
  2. Ulf Brefeld, Peter Geibel, Fritz Wysotzki
    Support Vector Machines with Example Dependent Costs. [Citation Graph (0, 0)][DBLP]
    ECML, 2003, pp:23-34 [Conf]
  3. Ulf Brefeld, Thomas Gärtner, Tobias Scheffer, Stefan Wrobel
    Efficient co-regularised least squares regression. [Citation Graph (0, 0)][DBLP]
    ICML, 2006, pp:137-144 [Conf]
  4. Ulf Brefeld, Tobias Scheffer
    Co-EM support vector learning. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  5. Ulf Brefeld, Tobias Scheffer
    Semi-supervised learning for structured output variables. [Citation Graph (0, 0)][DBLP]
    ICML, 2006, pp:145-152 [Conf]
  6. Peter Geibel, Ulf Brefeld, Fritz Wysotzki
    Learning Linear Classifiers Sensitive to Example Dependent and Noisy Costs. [Citation Graph (0, 0)][DBLP]
    IDA, 2003, pp:167-178 [Conf]
  7. Ulf Brefeld, Steffen Bickel, Tobias Scheffer
    Multi-View Lernen. [Citation Graph (0, 0)][DBLP]
    LWA, 2004, pp:131- [Conf]
  8. Ulf Brefeld, Christoph Büscher, Tobias Scheffer
    Multi-View Hidden Markov Perceptrons. [Citation Graph (0, 0)][DBLP]
    LWA, 2005, pp:134-138 [Conf]
  9. Peter Geibel, Ulf Brefeld, Fritz Wysotzki
    Perceptron and SVM learning with generalized cost models. [Citation Graph (0, 0)][DBLP]
    Intell. Data Anal., 2004, v:8, n:5, pp:439-455 [Journal]
  10. Peter Haider, Ulf Brefeld, Tobias Scheffer
    Supervised clustering of streaming data for email batch detection. [Citation Graph (0, 0)][DBLP]
    ICML, 2007, pp:345-352 [Conf]
  11. Alexander Zien, Ulf Brefeld, Tobias Scheffer
    Transductive support vector machines for structured variables. [Citation Graph (0, 0)][DBLP]
    ICML, 2007, pp:1183-1190 [Conf]

  12. Efficient Classification of Images with Taxonomies. [Citation Graph (, )][DBLP]

  13. Automatic feature selection for anomaly detection. [Citation Graph (, )][DBLP]

  14. Active learning for network intrusion detection. [Citation Graph (, )][DBLP]

  15. Exact and Approximate Inference for Annotating Graphs with Structural SVMs. [Citation Graph (, )][DBLP]

  16. Feature Selection for Density Level-Sets. [Citation Graph (, )][DBLP]

  17. Active and Semi-supervised Data Domain Description. [Citation Graph (, )][DBLP]

  18. Support Vector Machines for Collective Inference. [Citation Graph (, )][DBLP]

  19. Systematic feature evaluation for gene name recognition. [Citation Graph (, )][DBLP]

  20. Non-Sparse Regularization and Efficient Training with Multiple Kernels [Citation Graph (, )][DBLP]

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