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Thomas Gärtner: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Thomas Gärtner, Peter A. Flach, Stefan Wrobel
    On Graph Kernels: Hardness Results and Efficient Alternatives. [Citation Graph (0, 0)][DBLP]
    COLT, 2003, pp:129-143 [Conf]
  2. Kristian Kersting, Thomas Gärtner
    Fisher Kernels for Logical Sequences. [Citation Graph (0, 0)][DBLP]
    ECML, 2004, pp:205-216 [Conf]
  3. Quoc V. Le, Alexander J. Smola, Thomas Gärtner, Yasemin Altun
    Transductive Gaussian Process Regression with Automatic Model Selection. [Citation Graph (0, 0)][DBLP]
    ECML, 2006, pp:306-317 [Conf]
  4. 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]
  5. Thomas Gärtner, Peter A. Flach
    WBCsvm: Weighted Bayesian Classification based on Support Vector Machines. [Citation Graph (0, 0)][DBLP]
    ICML, 2001, pp:154-161 [Conf]
  6. Thomas Gärtner, Peter A. Flach, Adam Kowalczyk, Alex J. Smola
    Multi-Instance Kernels. [Citation Graph (0, 0)][DBLP]
    ICML, 2002, pp:179-186 [Conf]
  7. Quoc V. Le, Alex J. Smola, Thomas Gärtner
    Simpler knowledge-based support vector machines. [Citation Graph (0, 0)][DBLP]
    ICML, 2006, pp:521-528 [Conf]
  8. Thomas Gärtner, Kurt Driessens, Jan Ramon
    Graph Kernels and Gaussian Processes for Relational Reinforcement Learning. [Citation Graph (0, 0)][DBLP]
    ILP, 2003, pp:146-163 [Conf]
  9. Thomas Gärtner, John W. Lloyd, Peter A. Flach
    Kernels for Structured Data. [Citation Graph (0, 0)][DBLP]
    ILP, 2002, pp:66-83 [Conf]
  10. Tamás Horváth, Thomas Gärtner, Stefan Wrobel
    Cyclic pattern kernels for predictive graph mining. [Citation Graph (0, 0)][DBLP]
    KDD, 2004, pp:158-167 [Conf]
  11. Thomas Gärtner, Quoc V. Le, Simon Burton, Alex J. Smola, S. V. N. Vishwanathan
    Large-Scale Multiclass Transduction. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  12. Thomas Gärtner, John W. Lloyd, Peter A. Flach
    Kernels and Distances for Structured Data. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2004, v:57, n:3, pp:205-232 [Journal]
  13. Kurt Driessens, Jan Ramon, Thomas Gärtner
    Graph kernels and Gaussian processes for relational reinforcement learning. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2006, v:64, n:1-3, pp:91-119 [Journal]
  14. Thomas Gärtner
    A survey of kernels for structured data. [Citation Graph (0, 0)][DBLP]
    SIGKDD Explorations, 2003, v:5, n:1, pp:49-58 [Journal]
  15. Thomas Gärtner, Gemma C. Garriga
    The Cost of Learning Directed Cuts. [Citation Graph (0, 0)][DBLP]
    ECML, 2007, pp:152-163 [Conf]

  16. Player Modeling for Intelligent Difficulty Adjustment. [Citation Graph (, )][DBLP]

  17. On the Complexity of Constraint-Based Theory Extraction. [Citation Graph (, )][DBLP]

  18. Regularization path for Ranking SVM. [Citation Graph (, )][DBLP]

  19. Context-Based Clustering of Image Search Results. [Citation Graph (, )][DBLP]

  20. On-Line Handwriting Recognition with Parallelized Machine Learning Algorithms. [Citation Graph (, )][DBLP]

  21. Towards Engaging Games. [Citation Graph (, )][DBLP]

  22. On Structured Output Training: Hard Cases and an Efficient Alternative. [Citation Graph (, )][DBLP]

  23. Formal Concept Sampling for Counting and Threshold-Free Local Pattern Mining. [Citation Graph (, )][DBLP]

  24. Efficient Kernel Methods for Graphs. [Citation Graph (, )][DBLP]

  25. The Cost of Learning Directed Cuts. [Citation Graph (, )][DBLP]

  26. Semidefinite Ranking on Graphs. [Citation Graph (, )][DBLP]

  27. Kernels for Predictive Graph Mining. [Citation Graph (, )][DBLP]

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