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Yves Grandvalet
2010 – today
- 2012
[c24]Aurore Lomet, Gérard Govaert, Yves Grandvalet: An Approximation of the Integrated Classification Likelihood for the Latent Block Model. ICDM Workshops 2012: 147-153- [c23]Luis Francisco Sánchez Merchante, Yves Grandvalet, Gérard Govaert: An Efficient Approach to Sparse Linear Discriminant Analysis. ICML 2012
- 2011
- [j12]Julien Chiquet, Yves Grandvalet, Christophe Ambroise: Inferring multiple graphical structures. Statistics and Computing 21(4): 537-553 (2011)
- 2010
- [j11]Marie Szafranski, Yves Grandvalet, Alain Rakotomamonjy: Composite kernel learning. Machine Learning 79(1-2): 73-103 (2010)
2000 – 2009
- 2009
- [j10]Jean-François Paiement, Yves Grandvalet, Samy Bengio: Predictive models for music. Connect. Sci. 21(2&3): 253-272 (2009)
- 2008
- [c22]Jean-François Paiement, Yves Grandvalet, Samy Bengio, Douglas Eck: A distance model for rhythms. ICML 2008: 736-743
- [c21]Marie Szafranski, Yves Grandvalet, Alain Rakotomamonjy: Composite kernel learning. ICML 2008: 1040-1047
- [c20]Yves Grandvalet, Alain Rakotomamonjy, Joseph Keshet, Stéphane Canu: Support Vector Machines with a Reject Option. NIPS 2008: 537-544
- 2007
- [j9]Marta Avalos, Yves Grandvalet, Christophe Ambroise: Parsimonious additive models. Computational Statistics & Data Analysis 51(6): 2851-2870 (2007)
- [c19]
- [c18]Alain Rakotomamonjy, Francis Bach, Stéphane Canu, Yves Grandvalet: More efficiency in multiple kernel learning. ICML 2007: 775-782
- [c17]
- 2006
- [c16]Romain Hérault, Franck Davoine, Yves Grandvalet: Head and Facial Action Tracking: Comparison of Two Robust Approaches. FG 2006: 287-292
- 2005
- [j8]Marta Avalos, Yves Grandvalet, Christophe Ambroise: Discrimination par modèles additifs parcimonieux. Revue d'Intelligence Artificielle 19(4-5): 661-682 (2005)
- [c15]
- [c14]Yves Grandvalet, Johnny Mariéthoz, Samy Bengio: A Probabilistic Interpretation of SVMs with an Application to Unbalanced Classification. NIPS 2005
- 2004
- [j7]Yoshua Bengio, Yves Grandvalet: No Unbiased Estimator of the Variance of K-Fold Cross-Validation. Journal of Machine Learning Research 5: 1089-1105 (2004)
- [j6]
- [c13]
- [c12]Sandro Glaucio Maquiné de Souza, Thierry Denoeux, Yves Grandvalet: Recycling experiments for sludge monitoring in waste water treatment. SMC (2) 2004: 1342-1347
- 2003
- [j5]Jérémie François, Yves Grandvalet, Thierry Denoeux, Jean-Michel Roger: Resample and combine: an approach to improving uncertainty representation in evidential pattern classification. Information Fusion 4(2): 75-85 (2003)
- [j4]Jérémie François, Yves Grandvalet, Thierry Denoeux, Jean-Michel Roger: Addendum to resample and combine: an approach to improving uncertainty representation in evidential pattern classification. Information Fusion 4(3): 235-236 (2003)
- [c11]Marta Avalos, Yves Grandvalet, Christophe Ambroise: Regularization Methods for Additive Models. IDA 2003: 509-520
- [c10]Yoshua Bengio, Yves Grandvalet: No Unbiased Estimator of the Variance of K-Fold Cross-Validation. NIPS 2003
- 2002
- [c9]
- 2001
- [c8]Yves Grandvalet, Florence d'Alché-Buc, Christophe Ambroise: Boosting Mixture Models for Semi-supervised Learning. ICANN 2001: 41-48
- [c7]
- [c6]Florence d'Alché-Buc, Yves Grandvalet, Christophe Ambroise: Semi-supervised MarginBoost. NIPS 2001: 553-560
- 2000
- [j3]Yves Grandvalet: Anisotropic noise injection for input variables relevance determination. IEEE Trans. Neural Netw. Learning Syst. 11(6): 1201-1212 (2000)
- [c5]
1990 – 1999
- 1998
- [c4]Yves Grandvalet, Stéphane Canu: Outcomes of the Equivalence of Adaptive Ridge with Least Absolute Shrinkage. NIPS 1998: 445-451
- 1997
- [j2]Yves Grandvalet, Stéphane Canu, Stéphane Boucheron: Noise Injection: Theoretical Prospects. Neural Computation 9(5): 1093-1108 (1997)
- [c3]Skander Soltani, Stéphane Canu, Daniel Boichu, Yves Grandvalet: Wavelet Frames Based Estimator. ICANN 1997: 319-324
- [c2]Yves Grandvalet, Stéphane Canu: Adaptive Noise Injection for Input Variables Relevance Determination. ICANN 1997: 463-468
- 1995
- [j1]Yves Grandvalet, Stéphane Canu: Comments on "Noise injection into inputs in back propagation learning". IEEE Transactions on Systems, Man, and Cybernetics 25(4): 678-681 (1995)
- [c1]Yves Grandvalet, Stéphane Canu, Stéphane Boucheron: Control of complexity in learning with perturbed inputs. ESANN 1995
Coauthor Index
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last updated on 2013-01-26 20:07 CET by the dblp team