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Marc Boullé: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Marc Boullé, Carine Hue
    Optimal Bayesian 2D-Discretization for Variable Ranking in Regression. [Citation Graph (0, 0)][DBLP]
    Discovery Science, 2006, pp:53-64 [Conf]
  2. Marc Boullé
    Khiops: une méthode statistique de discrétisation. [Citation Graph (0, 0)][DBLP]
    EGC, 2002, pp:107-118 [Conf]
  3. Marc Boullé
    A robust method for partitioning the values of categorical attributes. [Citation Graph (0, 0)][DBLP]
    EGC, 2004, pp:173-184 [Conf]
  4. Sylvain Ferrandiz, Marc Boullé
    Utilisation des graphes de proximité dans le cadre de l'apprentissage basé sur les voisins. [Citation Graph (0, 0)][DBLP]
    EGC, 2004, pp:355-366 [Conf]
  5. Sylvain Ferrandiz, Marc Boullé
    Sélection supervisée d'instances : une approche descriptive. [Citation Graph (0, 0)][DBLP]
    EGC, 2006, pp:421-432 [Conf]
  6. Sylvain Ferrandiz, Marc Boullé
    Evaluation supervisée de métrique : application à la préparation de données séquentielles. [Citation Graph (0, 0)][DBLP]
    EGC, 2007, pp:319-330 [Conf]
  7. Carine Hue, Marc Boullé
    Une approche non paramétrique Bayesienne pour l'estimation de densité conditionnelle sur les rangs. [Citation Graph (0, 0)][DBLP]
    EGC, 2007, pp:111-122 [Conf]
  8. Marc Boullé
    Une méthode optimale d'évaluation bivariée pour la classification supervisée. [Citation Graph (0, 0)][DBLP]
    EGC, 2007, pp:461-472 [Conf]
  9. Sylvain Ferrandiz, Marc Boullé
    Supervised Selection of Dynamic Features, with an Application to Telecommunication Data Preparation. [Citation Graph (0, 0)][DBLP]
    Industrial Conference on Data Mining, 2006, pp:239-249 [Conf]
  10. Marc Boullé
    Khiops: A Discretization Method of Continuous Attributes with Guaranteed Resistance to Noise. [Citation Graph (0, 0)][DBLP]
    MLDM, 2003, pp:50-64 [Conf]
  11. Marc Boullé
    A Grouping Method for Categorical Attributes Having Very Large Number of Values. [Citation Graph (0, 0)][DBLP]
    MLDM, 2005, pp:228-242 [Conf]
  12. Sylvain Ferrandiz, Marc Boullé
    Multivariate Discretization by Recursive Supervised Bipartition of Graph. [Citation Graph (0, 0)][DBLP]
    MLDM, 2005, pp:253-264 [Conf]
  13. Sylvain Ferrandiz, Marc Boullé
    Supervised Evaluation of Dataset Partitions: Advantages and Practice. [Citation Graph (0, 0)][DBLP]
    MLDM, 2005, pp:600-609 [Conf]
  14. Marc Boullé
    Optimal bin number for equal frequency discretizations in supervized learning. [Citation Graph (0, 0)][DBLP]
    Intell. Data Anal., 2005, v:9, n:2, pp:175-188 [Journal]
  15. Sylvain Ferrandiz, Marc Boullé
    Supervised evaluation of Voronoi partitions. [Citation Graph (0, 0)][DBLP]
    Intell. Data Anal., 2006, v:10, n:3, pp:269-283 [Journal]
  16. Marc Boullé
    A Bayes Optimal Approach for Partitioning the Values of Categorical Attributes. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2005, v:6, n:, pp:1431-1452 [Journal]
  17. Marc Boullé
    Khiops: A Statistical Discretization Method of Continuous Attributes. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2004, v:55, n:1, pp:53-69 [Journal]
  18. Marc Boullé
    MODL: A Bayes optimal discretization method for continuous attributes. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2006, v:65, n:1, pp:131-165 [Journal]
  19. Laurent Candillier, Frank Meyer, Marc Boullé
    Comparing State-of-the-Art Collaborative Filtering Systems. [Citation Graph (0, 0)][DBLP]
    MLDM, 2007, pp:548-562 [Conf]

  20. Modelling Complex Data by Learning Which Variable to Construct. [Citation Graph (, )][DBLP]


  21. A Bayes Evaluation Criterion for Decision Trees. [Citation Graph (, )][DBLP]


  22. Vers l’exploitation de grandes masses de données. [Citation Graph (, )][DBLP]


  23. Classification supervisée pour de grands nombres de valeurs à prédire. [Citation Graph (, )][DBLP]


  24. Une nouvelle stratégie d'apprentissage Bayésienne. [Citation Graph (, )][DBLP]


  25. Khiops : outil de préparation et modélisation des données pour la fouille des grandes bases de données. [Citation Graph (, )][DBLP]


  26. Analyse exploratoire d’opinions cinématographiques : co-clustering de corpus textuels communautaires. [Citation Graph (, )][DBLP]


  27. Un critère d'évaluation Bayésienne pour la construction d'arbre de décision. [Citation Graph (, )][DBLP]


  28. Une méthode de classification supervisée sans paramètre pour l'apprentissage sur les grandes bases de données. [Citation Graph (, )][DBLP]


  29. A Non-parametric Semi-supervised Discretization Method. [Citation Graph (, )][DBLP]


  30. Report on Preliminary Experiments with Data Grid Models in the Agnostic Learning vs. Prior Knowledge Challenge. [Citation Graph (, )][DBLP]


  31. Regularization and Averaging of the Selective Naive Bayes classifier. [Citation Graph (, )][DBLP]


  32. The Orange Customer Analysis Platform. [Citation Graph (, )][DBLP]


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