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Yves Grandvalet: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Yves Grandvalet, Yoshua Bengio
    Semi-supervised Learning by Entropy Minimization. [Citation Graph (0, 0)][DBLP]
    CAP, 2005, pp:281-296 [Conf]
  2. Romain Hérault, Franck Davoine, Yves Grandvalet
    Head and Facial Action Tracking: Comparison of Two Robust Approaches. [Citation Graph (0, 0)][DBLP]
    FG, 2006, pp:287-292 [Conf]
  3. Yves Grandvalet
    Bagging Can Stabilize without Reducing Variance. [Citation Graph (0, 0)][DBLP]
    ICANN, 2001, pp:49-56 [Conf]
  4. Yves Grandvalet, Stéphane Canu
    Adaptive Noise Injection for Input Variables Relevance Determination. [Citation Graph (0, 0)][DBLP]
    ICANN, 1997, pp:463-468 [Conf]
  5. Yves Grandvalet, Florence d'Alché-Buc, Christophe Ambroise
    Boosting Mixture Models for Semi-supervised Learning. [Citation Graph (0, 0)][DBLP]
    ICANN, 2001, pp:41-48 [Conf]
  6. Skander Soltani, Stéphane Canu, Daniel Boichu, Yves Grandvalet
    Wavelet Frames Based Estimator. [Citation Graph (0, 0)][DBLP]
    ICANN, 1997, pp:319-324 [Conf]
  7. Marta Avalos, Yves Grandvalet, Christophe Ambroise
    Regularization Methods for Additive Models. [Citation Graph (0, 0)][DBLP]
    IDA, 2003, pp:509-520 [Conf]
  8. Yves Grandvalet
    Bagging Down-Weights Leverage Points. [Citation Graph (0, 0)][DBLP]
    IJCNN (4), 2000, pp:505-510 [Conf]
  9. Yoshua Bengio, Yves Grandvalet
    No Unbiased Estimator of the Variance of K-Fold Cross-Validation. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  10. Yves Grandvalet, Yoshua Bengio
    Semi-supervised Learning by Entropy Minimization. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  11. Yves Grandvalet, Stéphane Canu
    Adaptive Scaling for Feature Selection in SVMs. [Citation Graph (0, 0)][DBLP]
    NIPS, 2002, pp:553-560 [Conf]
  12. 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]
  13. Yves Grandvalet, Johnny Mariéthoz, Samy Bengio
    A Probabilistic Interpretation of SVMs with an Application to Unbalanced Classification. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  14. Florence d'Alché-Buc, Yves Grandvalet, Christophe Ambroise
    Semi-supervised MarginBoost. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:553-560 [Conf]
  15. Sandro Glaucio Maquiné de Souza, Thierry Denoeux, Yves Grandvalet
    Recycling experiments for sludge monitoring in waste water treatment. [Citation Graph (0, 0)][DBLP]
    SMC (2), 2004, pp:1342-1347 [Conf]
  16. Jérémie François, Yves Grandvalet, Thierry Denoeux, Jean-Michel Roger
    Resample and combine: an approach to improving uncertainty representation in evidential pattern classification. [Citation Graph (0, 0)][DBLP]
    Information Fusion, 2003, v:4, n:2, pp:75-85 [Journal]
  17. Jérémie François, Yves Grandvalet, Thierry Denoeux, Jean-Michel Roger
    Addendum to resample and combine: an approach to improving uncertainty representation in evidential pattern classification. [Citation Graph (0, 0)][DBLP]
    Information Fusion, 2003, v:4, n:3, pp:235-236 [Journal]
  18. Yoshua Bengio, Yves Grandvalet
    No Unbiased Estimator of the Variance of K-Fold Cross-Validation. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2004, v:5, n:, pp:1089-1105 [Journal]
  19. Yves Grandvalet
    Bagging Equalizes Influence. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2004, v:55, n:3, pp:251-270 [Journal]
  20. 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]
  21. Marta Avalos, Yves Grandvalet, Christophe Ambroise
    Parsimonious additive models. [Citation Graph (0, 0)][DBLP]
    Computational Statistics & Data Analysis, 2007, v:51, n:6, pp:2851-2870 [Journal]
  22. Romain Hérault, Yves Grandvalet
    Sparse probabilistic classifiers. [Citation Graph (0, 0)][DBLP]
    ICML, 2007, pp:337-344 [Conf]
  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. A distance model for rhythms. [Citation Graph (, )][DBLP]


  25. Composite kernel learning. [Citation Graph (, )][DBLP]


  26. Hierarchical Penalization. [Citation Graph (, )][DBLP]


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


  28. Predictive models for music. [Citation Graph (, )][DBLP]


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