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Balázs Kégl: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Balázs Kégl
    Robust Regression by Boosting the Median. [Citation Graph (0, 0)][DBLP]
    COLT, 2003, pp:258-272 [Conf]
  2. Balázs Kégl, Tamás Linder, Gábor Lugosi
    Data-Dependent Margin-Based Generalization Bounds for Classification. [Citation Graph (0, 0)][DBLP]
    COLT/EuroCOLT, 2001, pp:368-384 [Conf]
  3. Balázs Kégl, Adam Krzyzak
    Piecewise Linear Skeletonization Using Principal Curves. [Citation Graph (0, 0)][DBLP]
    ICPR, 2000, pp:3135-3138 [Conf]
  4. Balázs Kégl, Adam Krzyzak, Heinrich Niemann
    Radial Basis Function Networks and Complexity Regularization in Function Learning and Classification. [Citation Graph (0, 0)][DBLP]
    ICPR, 2000, pp:2081-2086 [Conf]
  5. Salah Bouktif, Houari A. Sahraoui, Balázs Kégl
    Combining Software Quality Predictive Models: An Evolutionary Approach. [Citation Graph (0, 0)][DBLP]
    ICSM, 2002, pp:385-392 [Conf]
  6. Norman Casagrande, Douglas Eck, Balázs Kégl
    Frame-Level Audio Feature Extraction Using AdaBoost. [Citation Graph (0, 0)][DBLP]
    ISMIR, 2005, pp:345-350 [Conf]
  7. Danielle Azar, Doina Precup, Salah Bouktif, Balázs Kégl, Houari A. Sahraoui
    Combining and Adapting Software Quality Predictive Models by Genetic Algorithms. [Citation Graph (0, 0)][DBLP]
    ASE, 2002, pp:285-288 [Conf]
  8. Balázs Kégl
    Intrinsic Dimension Estimation Using Packing Numbers. [Citation Graph (0, 0)][DBLP]
    NIPS, 2002, pp:681-688 [Conf]
  9. Balázs Kégl
    Generalization Error and Algorithmic Convergence of Median Boosting. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  10. Balázs Kégl, Adam Krzyzak, Tamás Linder, Kenneth Zeger
    A Polygonal Line Algorithm for Constructing Principal Curves. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:501-507 [Conf]
  11. Balázs Kégl, Ligen Wang
    Boosting on Manifolds: Adaptive Regularization of Base Classifiers. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  12. András Antos, Balázs Kégl, Tamás Linder, Gábor Lugosi
    Data-dependent margin-based generalization bounds for classification. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2002, v:3, n:, pp:73-98 [Journal]
  13. James Bergstra, Norman Casagrande, Dumitru Erhan, Douglas Eck, Balázs Kégl
    Aggregate features and ADABOOSTfor music classification. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2006, v:65, n:2-3, pp:473-484 [Journal]
  14. Balázs Kégl, Adam Krzyzak, Tamás Linder, Kenneth Zeger
    Learning and Design of Principal Curves. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 2000, v:22, n:3, pp:281-297 [Journal]
  15. Balázs Kégl, Adam Krzyzak
    Piecewise Linear Skeletonization Using Principal Curves. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 2002, v:24, n:1, pp:59-74 [Journal]
  16. Guangyi Chen, Balázs Kégl
    Image denoising with complex ridgelets. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2007, v:40, n:2, pp:578-585 [Journal]
  17. Guangyi Chen, Balázs Kégl
    Invariant Radon-Wavelet Packet Signatures for Pattern Recognition. [Citation Graph (0, 0)][DBLP]
    CCECE, 2006, pp:1471-1474 [Conf]
  18. Sébastien Gambs, Balázs Kégl, Esma Aïmeur
    Privacy-preserving boosting. [Citation Graph (0, 0)][DBLP]
    Data Min. Knowl. Discov., 2007, v:14, n:1, pp:131-170 [Journal]

  19. Grid Differentiated Services: A Reinforcement Learning Approach. [Citation Graph (, )][DBLP]

  20. Utility-Based Reinforcement Learning for Reactive Grids. [Citation Graph (, )][DBLP]

  21. Boosting products of base classifiers. [Citation Graph (, )][DBLP]

  22. Fast boosting using adversarial bandits. [Citation Graph (, )][DBLP]

  23. Surrogating the surrogate: accelerating Gaussian-process-based global optimization with a mixture cross-entropy algorithm. [Citation Graph (, )][DBLP]

  24. Palmprint Classification Using Wavelets and AdaBoost. [Citation Graph (, )][DBLP]

  25. Learning the 2-D Topology of Images. [Citation Graph (, )][DBLP]

  26. Feature extraction using Radon, wavelet and fourier transform. [Citation Graph (, )][DBLP]

  27. Palmprint classification using contourlets. [Citation Graph (, )][DBLP]

  28. A One-Class Classification Approach for Protein Sequences and Structures. [Citation Graph (, )][DBLP]

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