Probabilistic DFA Inference using Kullback-Leibler Divergence and Minimality (2000)

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by Franck Thollard Thollard
Venue:In Seventeenth International Conference on Machine Learning
Citations:11 - 2 self

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15 Probabilistic Finite-State Machines - Part I – E. Vidal, F. Thollard, C. De La Higuera, F. Casacuberta, R. C. Carrasco
9 Using Symbol Clustering to Improve Probabilistic Automaton Inference – Pierre Dupont, Lin Chase, Universit'e Jean Monnet, Rue P. Michelon - 1998
14 Probabilistic finite-state machines-part II – Enrique Vidal, Ieee Computer Society, Franck Thollard, Colin De La Higuera, Francisco Casacuberta, Ieee Computer Society, Rafael C. Carrasco
Machine Learning manuscript No. (will be inserted by the editor) PAutomaC: a PFA/HMM Learning Competition – Sicco Verwer, Rémi Eyraud Colin, S. Verwer, R. Eyraud, C. De La Higuera - 2013
2 Learning Hidden Markov Models to Fit Long-Term Dependencies – J. Callut, P. Dupont, Jérôme Callut, Pierre Dupont - 2005
4 Improvement of the State Merging Rule on Noisy Data in Probabilistic Grammatical Inference – Amaury Habrard, Marc Bernard, Marc Sebban - 2003
Stochastic Grammatical Inference of Text . . . – Matthew Young-Lai, Frank Wm. Tompa - 2000
12 Stochastic grammatical inference with Multinomial Tests – Christopher Kermorvant, Pierre Dupont - 2002
1 Phase Transitions within Grammatical Inference – Nicolas Pernot, Antoine Cornuéjols, Michèle Sebag
1 Learning Languages with Help – Christopher Kermorvant, Colin De La Higuera - 2002
22 Grammar Inference, Automata Induction, and Language Acquisition – Rajesh Parekh, Vasant Honavar - 2000
3 Shallow Parsing using Probabilistic Grammatical Inference – Franck Thollard, Alexander Clark, Er Clark - 2002
38 Stochastic Inference of Regular Tree Languages – Rafael C. Carrasco, Jose Oncina, Jorge Calera-rubio - 1999
2 Ten Open Problems in Grammatical Inference ⋆ – Colin De La Higuera
Efficient Pruning of Probabilistic Automata 1 Franck Thollard and Baptiste Jeudy – Université De Lyon, Université Jean-monnet
LARS: A learning algorithm for rewriting systems – Rémi Eyraud, Colin De La Higuera, Jean-christophe Janodet - 2007
Learning Finite-State Machines Statistical and Algorithmic Aspects – Borja De Balle Pigem, Jorge Castro, Ricard Gavaldà
1 Learning Stochastic Finite Automata for Musical Style Recognition ⋆ – Colin De La Higuera, Frédéric Piat, Frédéric Tantini
2 State Merging Inference of Finite State Classifiers – Fran Cois Coste, François Coste - 1999