All publications sorted by recency
| 1-25 | 26-50 | 51-75 | 76-100 | 101-125 | 126-150 | 151-175 | 176-200 | 201-225 | 226-250 | 251-275 | 276-300 | 301-325 | 326-350 | 351-375 | 376-400 | 401-425 | 426-450 | 451-475 | 476-500 | 501-525 | 526-526 |
| and , Greedy Spectral Embedding, in: Proceedings of the Tenth International Workshop on Artificial Intelligence and Statistics, pages 253--260, Society for Artificial Intelligence and Statistics, 2005 |
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| , and , The Curse of Dimensionality for Local Kernel Machines, Département d'informatique et recherche opérationnelle, Université de Montréal, number 1258, 2005 |
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| and , Non-Local Manifold Parzen Windows, Département d'informatique et recherche opérationnelle, Université de Montréal, number 1264, 2005 |
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| , Generalization Error and Algorithmic Convergence of Median Boosting, in: Advances in Neural Information Processing Systems 17 (NIPS'04), pages 657--664, 2005 |
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| and , Boosting on Manifolds: Adaptive Regularization of Base Classifiers, in: Advances in Neural Information Processing Systems 17 (NIPS'04), pages 665--672, 2005 |
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| , , , and , Convex neural networks, Département d'informatique et recherche opérationnelle, Université de Montréal, number 1263, 2005 |
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| and , Hierarchical Probabilistic Neural Network Language Model, in: Proceedings of the Tenth International Workshop on Artificial Intelligence and Statistics, pages 246--252, Society for Artificial Intelligence and Statistics, 2005 |
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| , , , and , Convex Neural Networks, in: Advances in Neural Information Processing Systems 18 (NIPS'05), pages 123--130, MIT Press, 2006 |
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| , and , Non-Local Manifold Parzen Windows, in: Advances in Neural Information Processing Systems 18 (NIPS'05), MIT Press, 2006 |
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| , and , The Curse of Highly Variable Functions for Local Kernel Machines, in: Advances in Neural Information Processing Systems 18 (NIPS'05), pages 107--114, MIT Press, 2006 |
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| , , and , Collaborative Filtering on a Family of Biological Targets (2006), in: J. Chem. Inf. Model., 46:2(626--635) |
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| , and , Nonlocal Estimation of Manifold Structure (2006), in: Neural Computation, 18(2509--2528) |
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| and , Continuous Neural Networks, Département d'informatique et recherche opérationnelle, Université de Montréal, number 1281, 2006 |
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| , , and , Greedy Layer-Wise Training of Deep Networks, Département d'informatique et recherche opérationnelle, Université de Montréal, number 1282, 2006 |
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| and , A Hybrid Pareto Model for Asymmetric Fat-Tail Data, Département d'informatique et recherche opérationnelle, Université de Montréal, number 1283, 2006 |
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| and , Distributed Representation Prediction for Generalization to New Words, Département d'informatique et recherche opérationnelle, Université de Montréal, number 1284, 2006 |
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| and , Hypothesis Testing for Cross-Validation, Département d'informatique et recherche opérationnelle, Université de Montréal, number 1285, 2006 |
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| , , and , Generalizing to a Zero-Data Task: a Computational Chemistry Case Study, Département d'informatique et recherche opérationnelle, Université de Montréal, number 1286, 2006 |
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| and , Entropy Regularization, in: Semi-Supervised Learning, pages 151--168, {MIT} Press, 2006 |
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| , , , , and , Spectral Dimensionality Reduction, in: Feature Extraction, Foundations and Applications, Springer, 2006 |
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| , and , Label Propagation and Quadratic Criterion, in: Semi-Supervised Learning, pages 193--216, {MIT} Press, 2006 |
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| , and , Large-Scale Algorithms, in: Semi-Supervised Learning, pages 333--341, {MIT} Press, 2006 |
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| and , Scaling Learning Algorithms towards AI, in: Large Scale Kernel Machines, MIT Press, 2007 |
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| and , Quick Training of Probabilistic Neural Nets by Importance Sampling, Département d'informatique et recherche opérationnelle, Université de Montréal, number 1216, 2002 |
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| , and , Model Selection for Small Sample Regression (2001), in: Machine Learning |
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| 1-25 | 26-50 | 51-75 | 76-100 | 101-125 | 126-150 | 151-175 | 176-200 | 201-225 | 226-250 | 251-275 | 276-300 | 301-325 | 326-350 | 351-375 | 376-400 | 401-425 | 426-450 | 451-475 | 476-500 | 501-525 | 526-526 |
