EPrints submitted by Yves Grandvalet

Number of EPrints submitted by this user: 26

Semi-supervised Learning by Entropy Minimization
Yves Grandvalet and Yoshua Bengio
In: NIPS 2004, 14-16 Dec 2004, Vancouver, Canada.

No Unbiased Estimator of the Variance of K-Fold Cross-Validation
Yoshua Bengio and Yves Grandvalet
Journal of Machine Learning Research Volume 5, pp. 1089-1105, 2004.

Bagging Equalizes Influence
Yves Grandvalet
Machine Learning Volume 55, Number 3, pp. 251-270, 2004.

Discrimination par modèles additifs parcimonieux
Avalos Marta, Yves Grandvalet and Christophe Ambroise
RIA Volume 19, Number 4-5, pp. 661-682, 2005.

No Unbiased Estimator of the Variance of K-Fold Cross-Validation
Yoshua Bengio and Yves Grandvalet
In: NIPS 2003, 09-11 Dec 2003, Vancouver, Canada, Vancouver, Canada.

Bias in Estimating the Variance of K-Fold Cross-Validation
Yoshua Bengio and Yves Grandvalet
In: Statistical Modeling and Analysis for Complex Data Problems (2005) Springer , pp. 75-95. ISBN 0 387 24554 5

Entropy Regularization
Yves Grandvalet and Yoshua Bengio
In: Semi-Supervised Learning (2005) Springer .

Semi-supervised Learning by Entropy Minimization
Yves Grandvalet and Yoshua Bengio
In: CAp 2005, 31 May - 03 Jun 2005, Nice, France.

Parsimonious Additive Models
Avalos Marta, Yves Grandvalet and Christophe Ambroise
Computational Statistics and Data Analysis 2005.

Bagging stabilization in decision trees
Yves Grandvalet
In: XLIII Scientific Meeting of the Italian Statistical Society, June 2006, Torino.

A Probabilistic Interpretation of SVMs with an Application to Unbalanced Classification
Yves Grandvalet, Johnny Mariéthoz and Samy Bengio
In: CAp'2006, June 2006, Tregastel, France.

A generative model for rhythms
Jean-Francois Paiement, Yves Grandvalet, Samy Bengio and Douglas Eck
In: NIPS'2007 Music, Brain & Cognition Workshop, 7-8 Dec 2007, Whistler, Canada.

More Efficiency in Multiple Kernel Learning
Alain Rakotomamonjy, Francis Bach, Yves Grandvalet and Stéphane Canu
In: ICML 2007, 20-24 Jun 2007, Corvallis, USA.

Support Vector Machines with a Reject Option
Yves Grandvalet, Alain Rakotomamonjy, Joseph Keshet and Stéphane Canu
In: NIPS 21, Dec 2008, Vancouver, Canada.

Kernel Based Text-Independent Speaker Verification
Johnny Mariéthoz, Samy Bengio and Yves Grandvalet
In: Automatic Speech and Speaker Recognition: Large Margin and Kernel Methods (2008) John Wiley & Sons , pp. 197-224.

A Distance Model for Rhythms
Jean-Francois Paiement, Yves Grandvalet and Samy Bengio
In: ICML 2008(2008).

SimpleMKL
Alain Rakotomamonjy, Francis Bach, Stéphane Canu and Yves Grandvalet
Journal of Machine Learning Research Volume 9, pp. 2491-2521, 2008.

Predictive models for music
Jean-Francois Paiement, Yves Grandvalet and Samy Bengio
Connection Science Volume 21, Number 2, pp. 253-272, 2009.

Kernel based text-independent speaker verification
J. Mariethoz, Yves Grandvalet and Samy Bengio
In: Automatic Speech and Speaker Recognition: Large Margin and Kernel Methods (2008) John Wiley \& Sons , pp. 197-224.

Inferring Multiple Graphical Structures
Julien Chiquet, Yves Grandvalet and Christophe Ambroise
Statistics and Computing Volume 21, Number 4, pp. 537-553, 2011.

Inferring Multiple Regulation Networks
Julien Chiquet, Yves Grandvalet and Christophe Ambroise
In: MLCB 2010, 10 Dec 2010, Whistler, Canada.

Sparsity with sign-coherent groups of variables via the cooperative-Lasso
Julien Chiquet, Yves Grandvalet and Camille Charbonnier
Annals of Applied Statistics 2012.

Integrated proteomic and transcriptomic investigation of the acetaminophen toxicity in liver microfluidic biochip
J.-M. Prot, A.-S. Briffaut, F. Letourneur, P. Chafey, F. Merlier, Yves Grandvalet, C. Legallais and E. Leclerc
PLoS ONE Volume 6, Number 8, 2011.

Analysis of multiple exposures in the case-crossover design via sparse conditional likelihood
M. Avalos, Yves Grandvalet, N. Duran Adroher, L. Orriols and E. Lagarde
Statistics in Medicine Volume 31, Number 21, pp. 2290-2302, 2012.

Prescription-Drug-Related Risk in Driving: Comparing Conventional and Lasso Shrinkage Logistic Regressions
M. Avalos, N. Duran Adroher, E. Lagarde, F. Thiessard, Yves Grandvalet, B. Contrand and L. Orriols
Epidemiology Volume 23, Number 5, pp. 706-712, 2012.

Model selection in block clustering by the integrated classification likelihood
Aurore Lomet, Gérard Govaert and Yves Grandvalet
In: Proceedings of Compstat 2012, 20th International Conference on Computational Statistics, Limassol, Cyprus(2012).