All publications sorted by recency

Yoshua Bengio, New Distributed Probabilistic Language Models, Département d'informatique et recherche opérationnelle, Université de Montréal, number 1215, 2002
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Yoshua Bengio, Réjean Ducharme, Pascal Vincent and Christian Jauvin, A Neural Probabilistic Language Model (2003), in: Journal of Machine Learning Research, 3(1137--1155)
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Joumana Ghosn and Yoshua Bengio, Bias Learning, Knowledge Sharing (2003), in: IEEE Transaction on Neural Networks, 14:4(748--765)
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Pascal Vincent and Yoshua Bengio, Manifold Parzen Windows, in: Advances in Neural Information Processing Systems 15 (NIPS'02), pages 825--832, MIT Press, 2003
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Yoshua Bengio and Nicolas Chapados, Extensions to Metric-Based Model Selection (2003), in: Journal of Machine Learning Research
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Yoshua Bengio, Pascal Vincent and Jean-François Paiement, Learning Eigenfunctions of Similarity: Linking Spectral Clustering and Kernel PCA, Département d'informatique et recherche opérationnelle, Université de Montréal, number 1232, 2003
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Yoshua Bengio, Jean-François Paiement and Pascal Vincent, Out-of-Sample Extensions for LLE, Isomap, MDS, Eigenmaps, and Spectral Clustering, Département d'informatique et recherche opérationnelle, Université de Montréal, number 1238, 2003
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Yoshua Bengio and Christopher Kermorvant, Extracting Hidden Sense Probabilities from Bitexts, Département d'informatique et recherche opérationnelle, Université de Montréal, number 1231, 2003
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Yoshua Bengio, Pascal Vincent, Jean-François Paiement, Olivier Delalleau, Marie Ouimet and Nicolas Le Roux, Spectral Clustering and Kernel PCA are Learning Eigenfunctions, Département d'informatique et recherche opérationnelle, Université de Montréal, number 1239, 2003
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Pascal Vincent and Yoshua Bengio, Locally Weighted Full Covariance Gaussian Density Estimation, Département d'informatique et recherche opérationnelle, Université de Montréal, number 1240, 2003
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Yoshua Bengio and Yves Grandvalet, No Unbiased Estimator of the Variance of K-Fold Cros-Validation, Département d'informatique et recherche opérationnelle, Université de Montréal, number 1234, 2003
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Yoshua Bengio and Yves Grandvalet, No Unbiased Estimator of the Variance of K-Fold Cross-Validation, in: Advances in Neural Information Processing Systems 16 (NIPS'03), MIT Press, 2004
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Yoshua Bengio and Yves Grandvalet, No Unbiased Estimator of the Variance of K-Fold Cross-Validation (2004), in: Journal of Machine Learning Research, 5(1089--1105)
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Yoshua Bengio and Martin Monperrus, Discovering shared structure in manifold learning, Département d'informatique et recherche opérationnelle, Université de Montréal, number 1250, 2004
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Yoshua Bengio, Olivier Delalleau and Nicolas Le Roux, Efficient Non-Parametric Function Induction in Semi-Supervised Learning, Département d'informatique et recherche opérationnelle, Université de Montréal, number 1247, 2004
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Olivier Delalleau, Yoshua Bengio and Nicolas Le Roux, Efficient Non-Parametric Function Induction in Semi-Supervised Learning, in: Proceedings of the Tenth International Workshop on Artificial Intelligence and Statistics (AISTATS'05), Savannah Hotel, Barbados, pages 96--103, Society for Artificial Intelligence and Statistics, 2005
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Yves Grandvalet and Yoshua Bengio, Semi-supervised Learning by Entropy Minimization, in: Advances in Neural Information Processing Systems 17 (NIPS'04), pages 529--236, 2005
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François Rivest, Yoshua Bengio and John Kalaska, Brain Inspired Reinforcement Learning, in: Advances in Neural Information Processing Systems 17 (NIPS'04), pages 1129--1136, 2005
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Yoshua Bengio and Martin Monperrus, Non-Local Manifold Tangent Learning, in: Advances in Neural Information Processing Systems 17 (NIPS'04), pages 129--136, 2005
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