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André Elisseeff: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Savina Andonova, André Elisseeff, Theodoros Evgeniou, Massimiliano Pontil
    A Simple Algorithm for Learning Stable Machines. [Citation Graph (0, 0)][DBLP]
    ECAI, 2002, pp:513-517 [Conf]
  2. Yann Guermeur, André Elisseeff, Hélène Paugam-Moisy
    A New Multi-Class SVM Based on a Uniform Convergence Result. [Citation Graph (0, 0)][DBLP]
    IJCNN (4), 2000, pp:183-188 [Conf]
  3. Hélène Paugam-Moisy, André Elisseeff, Yann Guermeur
    Generalization Performance of Multiclass Discriminant Models. [Citation Graph (0, 0)][DBLP]
    IJCNN (4), 2000, pp:177-182 [Conf]
  4. Olivier Bousquet, André Elisseeff
    Algorithmic Stability and Generalization Performance. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:196-202 [Conf]
  5. Nello Cristianini, John Shawe-Taylor, André Elisseeff, Jaz S. Kandola
    On Kernel-Target Alignment. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:367-373 [Conf]
  6. André Elisseeff, Hélène Paugam-Moisy
    Size of Multilayer Networks for Exact Learning: Analytic Approach. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:162-168 [Conf]
  7. André Elisseeff, Jason Weston
    A kernel method for multi-labelled classification. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:681-687 [Conf]
  8. Jason Weston, Olivier Chapelle, André Elisseeff, Bernhard Schölkopf, Vladimir Vapnik
    Kernel Dependency Estimation. [Citation Graph (0, 0)][DBLP]
    NIPS, 2002, pp:873-880 [Conf]
  9. Jason Weston, Christina S. Leslie, Dengyong Zhou, André Elisseeff, William Stafford Noble
    Semi-supervised Protein Classification Using Cluster Kernels. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  10. Asa Ben-Hur, André Elisseeff, Isabelle Guyon
    A Stability Based Method for Discovering Structure in Clustered Data. [Citation Graph (0, 0)][DBLP]
    Pacific Symposium on Biocomputing, 2002, pp:6-17 [Conf]
  11. Giuliano Tirenni, Abderrahim Labbi, André Elisseeff, Cesar Berrospi
    Efficient Allocation of Marketing Resources using Dynamic Programming. [Citation Graph (0, 0)][DBLP]
    SDM, 2005, pp:- [Conf]
  12. Jason Weston, Christina S. Leslie, Eugene Ie, Dengyong Zhou, André Elisseeff, William Stafford Noble
    Semi-supervised protein classification using cluster kernels. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2005, v:21, n:15, pp:3241-3247 [Journal]
  13. Jason Weston, Fernando Pérez-Cruz, Olivier Bousquet, Olivier Chapelle, André Elisseeff, Bernhard Schölkopf
    Feature selection and transduction for prediction of molecular bioactivity for drug design. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2003, v:19, n:6, pp:764-771 [Journal]
  14. André Elisseeff, Hélène Paugam-Moisy
    JNN, a randomized algorithm for training multilayer networks in polynomial time. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 1999, v:29, n:1-3, pp:3-24 [Journal]
  15. Yann Guermeur, Gianluca Pollastri, André Elisseeff, Dominique Zelus, Hélène Paugam-Moisy, Pierre Baldi
    Combining protein secondary structure prediction models with ensemble methods of optimal complexity. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2004, v:56, n:, pp:305-327 [Journal]
  16. Isabelle Guyon, André Elisseeff
    An Introduction to Variable and Feature Selection. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2003, v:3, n:, pp:1157-1182 [Journal]
  17. Olivier Bousquet, André Elisseeff
    Stability and Generalization. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2002, v:2, n:, pp:499-526 [Journal]
  18. Olivier Bousquet, André Elisseeff
    Stability and Generalization. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2002, v:2, n:, pp:499-526 [Journal]
  19. Jason Weston, André Elisseeff, Bernhard Schölkopf, Michael E. Tipping
    Use of the Zero-Norm with Linear Models and Kernel Methods. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2003, v:3, n:, pp:1439-1461 [Journal]
  20. André Elisseeff, Theodoros Evgeniou, Massimiliano Pontil
    Stability of Randomized Learning Algorithms. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2005, v:6, n:, pp:55-79 [Journal]
  21. Theodoros Evgeniou, Massimiliano Pontil, André Elisseeff
    Leave One Out Error, Stability, and Generalization of Voting Combinations of Classifiers. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2004, v:55, n:1, pp:71-97 [Journal]
  22. Jean-Philippe Pellet, André Elisseeff
    A Partial Correlation-Based Algorithm for Causal Structure Discovery with Continuous Variables. [Citation Graph (0, 0)][DBLP]
    IDA, 2007, pp:229-239 [Conf]
  23. Olivier Bousquet, André Elisseeff
    Guest editorial: Learning theory. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2007, v:66, n:2-3, pp:115-118 [Journal]

  24. Finding Latent Causes in Causal Networks: an Efficient Approach Based on Markov Blankets. [Citation Graph (, )][DBLP]


  25. Explanation Trees for Causal Bayesian Networks. [Citation Graph (, )][DBLP]


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