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Publications de 2003 à 2017 (Heudiabib)

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Pénalisation & Parcimonie

Rakotomamonjy, A. and Bach, F. and Canu, S. and Grandvalet, Y.
 Bibtex
SimpleMKL
 [pdf]
Journal of Machine Learning Research, vol. 9, pp. 2491-2521, 2008
Rakotomamonjy, A. and Bach, F.R. and Canu, S. and Grandvalet, Y.
 Bibtex
More Efficiency in Multiple Kernel Learning
 [pdf]
Proceedings of the 24th Annual International Conference on Machine Learning (ICML 2007), ed.: Ghahramani Z., pp. 775-782, 2007
Szafranski, M. and Grandvalet, Y. and Rakotomamonjy, A.
 Bibtex
Composite Kernel Learning
 [pdf]
International Conference on Machine Learning (ICML 2008), pp. 1040-1047, july, 2008
Szafranski, M. and Grandvalet, Y. and Morizet-Mahoudeaux, P.
 Bibtex
Hierarchical Penalization
 [pdf]
Advances in Neural Information Processing Systems 20 (NIPS 2007), pp. 1457-1464, MIT press, 2008
Avalos, M. and Grandvalet, Y. and Ambroise, C.
 Bibtex
Parsimonious Additive Models
 [pdf]
Computational Statistics and Data Analysis, vol. 51, num. 6, pp. 2851-2870, 2007
Grandvalet, Y. and Canu, S.
 Bibtex
Adaptive Scaling for Feature Selection in SVMs
 [pdf]
Advances in Neural Information Processing Systems 15 (NIPS 2002), pp. 569-576, MIT press, 2003 [ps.gz]
Grandvalet, Y. and Canu, S.
 Bibtex
Outcomes of the equivalence of adaptive ridge with least absolute shrinkage
 [pdf]
Advances in Neural Information Processing Systems 11 (NIPS 1998), pp. 445-451, MIT press, 1999 [ps.gz]
Grandvalet, Y.
 Bibtex
Least absolute shrinkage is equivalent to quadratic penalization
 [pdf]
ICANN'98, Perspectives in Neural Computing, pp. 201-206, Springer, 1998 [ps.gz]
Matlab function for doing adaptive ridge regression or lasso
 Matlab code

Critères parcimonieux & rejet

Grandvalet, Y. and Rakotomamonjy, A. and Keshet, J. and Canu, S.
 Bibtex
Support Vector Machines with a Reject Option
Advances in Neural Information Processing Systems 21, pp. 537-544, publisher: MIT Press, 2008
Hérault, R. and Grandvalet, Y.
 Bibtex
Classifieurs Probabilistes Parcimonieux
Traitement du Signal, vol. 25, num. 4, pp. 279-291, 2008
Hérault, R. and Grandvalet, Y.
 Bibtex
Sparse Probabilistic Classifiers
Proceedings of 24th International Conference on Machine Learning, Oregon State University, Corvallis, Oregon, USA, pp. 337-344, ed.: Ghahramani Z., June, 2007
document
Grandvalet, Y. and Mariéthoz, J. and Bengio, S.
 Bibtex
A probabilistic interpretation of SVMs with an application to unbalanced classification
Advances in Neural Information Processing Systems 18, pp. 467-474, publisher: MIT Press, 2006

Semi-supervisé

Grandvalet, Y. and Bengio, Y.
 Bibtex
chapter:"Entropy Methods"
Semi-Supervised Learning , ed.: Chapelle, O. and Schoelkopf, B. and Zien, A., pp. 151-168, series: Adaptive Computation and Machine Learning, MIT Press, 2006
Grandvalet, Y. and Bengio, Y.
 Bibtex
Semi-supervised learning by entropy minimization
Neural Information Processing Systems 17, Vancouver, Canada, pp. 529-536, MIT Press, 2005
d'Alché Buc F., Grandvalet Y. and Ambroise, C.
 Bibtex
Semi-supervised learning by entropy minimization
Neural Information Processing Systems 14, Vancouver, Canada, pp. 553-560, MIT Press, 2002

Validation Croisée

Bengio, Y. and Grandvalet, Y.
 Bibtex
No unbiased estimator of the variance of K-fold cross-validation
 [pdf]
Journal of Machine Learning Research, vol. 5, pp. 1089-1105, 2004
Bengio, Y. and Grandvalet, Y.
 Bibtex
No unbiased estimator of the variance of K-fold cross-validation
 [pdf]
Advances in Neural Information Processing Systems 16 (NIPS 2003), pp. 513-520, 2004

Bagging

Grandvalet, Y.
 Bibtex
Bagging equalizes influence
Machine Learning, vol. 55, num. 3, pp. 251-270, 2004

Combinaison par Dempster-Shafer

François, J. and Grandvalet, Y. and Denoeux, T. and Roger, J.M.
 Bibtex
Resample and combine : an approach to improving uncertainty representation in evidential pattern classification
Information Fusion, vol. 4, num. 2, pp. 75-85, 2003
François, J. and Grandvalet, Y. and Denoeux, T. and Roger, J.M.
 Bibtex
Addenda to resample and combine : an approach to improving uncertainty representation in evidential pattern classification
Information Fusion, vol. 4, num. 3, pp. 235-236, 2003

Applications

Paiement, J.-F. and Grandvalet, Y. and Bengio, S.
 Bibtex
Predictive models for music
Connection Science, vol. 21, num. 2-3, pp. 253-272, 2009
document
Paiement, J.-F. and Grandvalet, Y. and Bengio, S. and Eck, D.
 Bibtex
A Distance Model for Rhythms
Proceedings of the 25th Annual International Conference on Machine Learning (ICML 2008), pp. 736-743, ed.: McCallum, A. and Roweis, S., publisher: Omnipress, 2008
Mariéthoz, J. and Bengio, S. and Grandvalet, Y.
 Bibtex
chapter:"Kernel Based Text-Independent Speaker Verification"
 Book
Automatic Speech and Speaker Recognition: Large Margin and Kernel Methods, ed.: Keshet, J. and Bengio, S., pp. 197-224, John Wiley & Sons, 2008 Software
Hérault, R. and Davoine, F. and Grandvalet, Y.
 Bibtex
Head and Facial Action Tracking: Comparison of two Robust Approaches
7th IEEE International Conference on Automatic Face and Gesture Recognition, Southampton, UK, pp. 287-292, publisher: IEEE Computer Society, April, 2006
document
Grandvalet, Y. and Masson, M.-H.
 Bibtex
chapter:"Réseaux de neurones pour le diagnostic"
Traité IC2, Diagnostic : Intelligence Artificielle et Reconnaissance des Formes , ed.: B. Dubuisson, pp. 179-218, Hermès, 2001
Ambroise, C. and Grandvalet Y.
 Bibtex
Prediction of ozone peaks by mixture models
Ecological Modeling, vol. 145, num. 2/3, pp. 275-289, 2001
document
Masson, M.-H., Canu, S. and Grandvalet Y.
 Bibtex
Software sensor design based on empirical data
Ecological Modeling, vol. 120, pp. 131-139, 1999
document

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