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===== Penalization & Sparsity ===== | ===== Penalization & Sparsity ===== | ||
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+ | * Sanchez Merchante, L. F. and Grandvalet, Y. and Govaert, G. [[https:// | ||
+ | * Szafranski, M. and Grandvalet, Y. and Rakotomamonjy, | ||
+ | * Rakotomamonjy, | ||
+ | * Rakotomamonjy, | ||
+ | * Szafranski, M. and Grandvalet, Y. and Rakotomamonjy, | ||
+ | * Szafranski, M. and Grandvalet, Y. and Morizet-Mahoudeaux, | ||
+ | * Avalos, M. and Grandvalet, Y. and Ambroise, C. [[https:// | ||
+ | * Grandvalet, Y. and Canu, S. [[https:// | ||
+ | * Grandvalet, Y. and Canu, S. [[https:// | ||
+ | * Grandvalet, Y. [[https:// | ||
===== Sparse Criteria & Reject Option ===== | ===== Sparse Criteria & Reject Option ===== | ||
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+ | * Grandvalet, Y. and Rakotomamonjy, | ||
+ | * Hérault, R. and Grandvalet, Y. [[https:// | ||
+ | * Hérault, R. and Grandvalet, Y. [[http:// | ||
+ | * Grandvalet, Y. and Mariéthoz, J. and Bengio, S. [[https:// | ||
===== Semi-Supervised Learning ===== | ===== Semi-Supervised Learning ===== | ||
- | < | + | * Grandvalet, Y. and Bengio, Y. [[http://www.iro.umontreal.ca/~lisa/pointeurs/entropy_regularization_2006.pdf|Entropy Regularization]], // Semi-Supervised Learning//, ed.: Chapelle, O. and Schoelkopf, B. and Zien, A., pp. 151-168, series: Adaptive Computation and Machine Learning, MIT Press, 2006. |
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- | , ed.: Chapelle, O. and Schoelkopf, B. and Zien, A., pp. 151-168, series: Adaptive Computation and Machine Learning, MIT Press, 2006< | + | |
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===== Cross-Validation ===== | ===== Cross-Validation ===== | ||
- | < | + | * Bengio, Y. and Grandvalet, Y. [[https://www.jmlr.org/papers/volume5/grandvalet04a/grandvalet04a.pdf|No unbiased estimator of the variance of K-fold cross-validation]]//, Journal of Machine Learning Research//, 5, pp. 1089-1105, 2004. |
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===== Bagging ===== | ===== Bagging ===== | ||
- | < | + | * Grandvalet, Y. [[https:// |
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===== Dempster-Shafer Combination ===== | ===== Dempster-Shafer Combination ===== | ||
- | < | + | * François, J. and Grandvalet, Y. and Denoeux, T. and Roger, J.M. [[https://www.sciencedirect.com/science/article/pii/S1566253503000058|Resample and combine : an approach to improving uncertainty representation in evidential pattern classification]], // |
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