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Stéphane Canu: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Vincent Guigue, Alain Rakotomamonjy, Stéphane Canu
    Kernel Basis Pursuit. [Citation Graph (0, 0)][DBLP]
    CAP, 2005, pp:93-106 [Conf]
  2. Gaëlle Loosli, Sans-Goog Lee, Stéphane Canu
    Détection de contexte par l'apprentissage. [Citation Graph (0, 0)][DBLP]
    CAP, 2005, pp:111-112 [Conf]
  3. Vincent Guigue, Alain Rakotomamonjy, Stéphane Canu
    Kernel Basis Pursuit. [Citation Graph (0, 0)][DBLP]
    ECML, 2005, pp:146-157 [Conf]
  4. Stéphane Canu, Alexander J. Smola
    Kernel methods and the exponential family. [Citation Graph (0, 0)][DBLP]
    ESANN, 2005, pp:447-454 [Conf]
  5. Vincent Guigue, Alain Rakotomamonjy, Stéphane Canu
    Translation invariant classification of non-stationary signals. [Citation Graph (0, 0)][DBLP]
    ESANN, 2005, pp:473-478 [Conf]
  6. Yves Grandvalet, Stéphane Canu
    Adaptive Noise Injection for Input Variables Relevance Determination. [Citation Graph (0, 0)][DBLP]
    ICANN, 1997, pp:463-468 [Conf]
  7. Alain Rakotomamonjy, Stéphane Canu
    Frame Kernels for Learning. [Citation Graph (0, 0)][DBLP]
    ICANN, 2002, pp:707-712 [Conf]
  8. Skander Soltani, Stéphane Canu, Daniel Boichu, Yves Grandvalet
    Wavelet Frames Based Estimator. [Citation Graph (0, 0)][DBLP]
    ICANN, 1997, pp:319-324 [Conf]
  9. Quoc V. Le, Alexander J. Smola, Stéphane Canu
    Heteroscedastic Gaussian process regression. [Citation Graph (0, 0)][DBLP]
    ICML, 2005, pp:489-496 [Conf]
  10. Cheng Soon Ong, Xavier Mary, Stéphane Canu, Alexander J. Smola
    Learning with non-positive kernels. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  11. Thibault Langlois, Stéphane Canu
    B-Learning: A Reinforcement Learning Algorithm, Comparison with Dynamic Programming. [Citation Graph (0, 0)][DBLP]
    IWANN, 1993, pp:261-266 [Conf]
  12. Yves Grandvalet, Stéphane Canu
    Adaptive Scaling for Feature Selection in SVMs. [Citation Graph (0, 0)][DBLP]
    NIPS, 2002, pp:553-560 [Conf]
  13. Yves Grandvalet, Stéphane Canu
    Outcomes of the Equivalence of Adaptive Ridge with Least Absolute Shrinkage. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:445-451 [Conf]
  14. Bruno Grilheres, Christophe Beauce, Stéphane Canu, Stephan Brunessaux
    A Platform for Semantic Annotations and Ontology Population Using Conditional Random Fields. [Citation Graph (0, 0)][DBLP]
    Web Intelligence, 2005, pp:790-793 [Conf]
  15. Mikhail F. Kanevski, Roman Parkin, Aleksey Pozdnukhov, Vadim Timonin, Michel Maignan, Vasiliy V. Demyanov, Stéphane Canu
    Environmental data mining and modeling based on machine learning algorithms and geostatistics. [Citation Graph (0, 0)][DBLP]
    Environmental Modelling and Software, 2004, v:19, n:9, pp:845-855 [Journal]
  16. Stéphane Canu, Alexander J. Smola
    Kernel methods and the exponential family. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2006, v:69, n:7-9, pp:714-720 [Journal]
  17. Vincent Guigue, Alain Rakotomamonjy, Stéphane Canu
    Translation-invariant classification of non-stationary signals. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2006, v:69, n:7-9, pp:743-753 [Journal]
  18. Icham Sefion, Abdel Ennaji, Marc Gailhardou, Stéphane Canu
    Aide à la décision médicale Contribution pour la prise en charge de l'asthme. [Citation Graph (0, 0)][DBLP]
    Ingénierie des Systèmes d'Information, 2003, v:8, n:1, pp:11-32 [Journal]
  19. Alain Rakotomamonjy, Stéphane Canu
    Frames, Reproducing Kernels, Regularization and Learning. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2005, v:6, n:, pp:1485-1515 [Journal]
  20. Gaëlle Loosli, Stéphane Canu
    Comments on the "Core Vector Machines: Fast SVM Training on Very Large Data Sets". [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2007, v:8, n:, pp:291-301 [Journal]
  21. Yves Grandvalet, Stéphane Canu, Stéphane Boucheron
    Noise Injection: Theoretical Prospects. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 1997, v:9, n:5, pp:1093-1108 [Journal]
  22. Skander Soltani, Daniel Boichu, Patrice X. Simard, Stéphane Canu
    The long-term memory prediction by multiscale decomposition. [Citation Graph (0, 0)][DBLP]
    Signal Processing, 2000, v:80, n:10, pp:2195-2205 [Journal]
  23. Alain Rakotomamonjy, Francis Bach, Stéphane Canu, Yves Grandvalet
    More efficiency in multiple kernel learning. [Citation Graph (0, 0)][DBLP]
    ICML, 2007, pp:775-782 [Conf]
  24. Gaëlle Loosli, Gilles Gasso, Stéphane Canu
    Regularization Paths for nu -SVM and nu -SVR. [Citation Graph (0, 0)][DBLP]
    ISNN (3), 2007, pp:486-496 [Conf]

  25. Computing and stopping the solution paths for $\nu$-SVR. [Citation Graph (, )][DBLP]


  26. Estimation of tangent planes for neighborhood graph correction. [Citation Graph (, )][DBLP]


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


  28. Sparsity regularization path for semi-supervised SVM. [Citation Graph (, )][DBLP]


  29. Support Vector Machines with a Reject Option. [Citation Graph (, )][DBLP]


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