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Raphael Bailly
Raphael Bailly
Chercheur Post-doctorat, LIMSI
Zweryfikowany adres z limsi.fr
Tytuł
Cytowane przez
Cytowane przez
Rok
Grammatical inference as a principal component analysis problem
R Bailly, F Denis, L Ralaivola
Proceedings of the 26th Annual International Conference on Machine Learning …, 2009
772009
Quadratic weighted automata: Spectral algorithm and likelihood maximization
R Bailly
Asian Conference on Machine Learning, 147-163, 2011
492011
A spectral approach for probabilistic grammatical inference on trees
R Bailly, A Habrard, F Denis
International Conference on Algorithmic Learning Theory, 74-88, 2010
422010
Unsupervised spectral learning of WCFG as low-rank matrix completion
R Bailly, X Carreras Pérez, FM Luque, AJ Quattoni
Proceedings of the 2013 Conference on Empirical Methods in Natural Language …, 2013
182013
Méthodes spectrales pour l'inférence grammaticale probabiliste de langages stochastiques rationnels
R Bailly
Aix-Marseille 1, 2011
172011
Unsupervised spectral learning of finite state transducers
R Bailly, X Carreras, A Quattoni
Advances in Neural Information Processing Systems 26, 2013
142013
Absolute convergence of rational series is semi-decidable
R Bailly, F Denis
Information and Computation 209 (3), 280-295, 2011
142011
Recognizable series on hypergraphs
R Bailly, F Denis, G Rabusseau
International Conference on Language and Automata Theory and Applications …, 2015
82015
Recognizable series on graphs and hypergraphs
R Bailly, G Rabusseau, F Denis
Journal of Computer and System Sciences 104, 58-81, 2019
52019
Emergence of syntax needs minimal supervision
R Bailly
arXiv preprint arXiv:2005.01119, 2020
42020
Recognizable series on hypergraphs
R Bailly, F Denis, G Rabusseau
arXiv preprint arXiv:1404.7533, 2014
22014
Syntax and geometry of information
R Bailly, L Leblond
Proceedings of the 61st Annual Meeting of the Association for Computational …, 2023
12023
Génération procédurale de niveaux de jeu alliant approche constructive et optimisation
R Bailly
HESAM Université, 2022
2022
Graph Learning as a Tensor Factorization Problem
R Bailly, G Rabusseau
2017
Semantically Invariant Tensor Factorization
R Bailly, A Bordes, N Usunier
2015
Spectral learning of graph distributions
R BAILLY
2012
Spectral learning of graphical distributions
R Bailly
2012
Automates Quadratiques Pondérés: Algorithme Spectral et Maximisation de la Vraisemblance
R BAILLY
7e Plateforme AFIA, Association Française pour l'Intelligence Artificielle …, 2011
2011
Using PCA for Probabilistic Grammatical Inference on Trees
F Denis, R Bailly, E Gilbert, A Habrard
2009
Absolute Convergence of Rational Series Is Semi-decidable
R Bailly, F Denis
International Conference on Language and Automata Theory and Applications …, 2009
2009
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