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ORCID3. ICGI 1996: Montpellier, France
- Laurent Miclet, Colin de la Higuera:
Grammatical Inference: Learning Syntax from Sentences, 3rd International Colloquium, ICGI-96, Montpellier, France, September 25-27, 1996, Proceedings. Lecture Notes in Computer Science 1147, Springer 1996, ISBN 3-540-61778-7
Invited Talks
- David M. Magerman:
Learning grammatical stucture using statistical decision-trees. 1-21 - Timo Knuutila:
Inductive inference from positive data: from heuristic to characterizing methods. 22-47
Session: Algebraic Methods and Algorithms 1
- Kalvis Apsitis, Rusins Freivalds, Raimonds Simanovskis, Juris Smotrovs
:
Unions of identifiable families of languages. 48-58 - Colin de la Higuera:
Characteristic sets for polynominal grammatical inference. 59-71 - Juan Miguel Vilar:
Query learning of subsequential transducers. 72-83
Session: Natural Language and Pattern Recognition
- Michael R. Brent, Timothy A. Cartwright:
Lexical categorization: fitting template grammars by incremental MDL optimization. 84-94 - Christoph Tillmann, Hermann Ney:
Selection criteria for word trigger pairs in language modelling. 95-106 - Ana L. N. Fred:
Clustering of sequences using minimum grammar compexity criterion. 107-116
Session: Algebraic Methods and Algorithms 2
- Yuji Takada, Taishin Y. Nishida:
A note on grammatical inference of slender context-free languages. 117-125 - José M. Sempere, Antonio Fos:
Learning linear grammars from structural information. 126-133 - René Alquézar, Alberto Sanfeliu, Jordi Cueva:
Learning of context-sensitive language acceptors through regular inference and constrained induction. 134-145 - Christer Samuelsson, Pasi Tapanainen, Atro Voutilainen:
Inducing constraint grammars. 146-155
Session: Inference of Stochastic Models 1
- Sabine Deligne, François Yvon, Frédéric Bimbot:
Introducing statistical dependencies and structural constraints in variable-length sequence models. 156-167 - Jens Gregor, Michael G. Thomason:
A disagreement count scheme for inference of constrained Markov networks. 168-178 - Enrique Vidal, David Llorens:
Using knowledge to improve N-gram language modelling through the MGGI methodology. 179-190 - Reinhard Blasig:
Discrete sequence prediction with commented Markov models. 191-202
Session: Algebraic Methods and Algorithms 3
- José Ruiz, Pedro García:
Learning k-piecewise testable languages from positive data. 203-210 - J. D. Emerald, K. G. Subramanian, D. Gnanaraj Thomas:
Learning code regular and code linear languages. 211-221
Session: Incremental Methods and Inductive Logic Programming
- Pierre Dupont:
Incremental regular inference. 222-237 - Rajesh Parekh, Vasant G. Honavar:
An incremental interactive algorithm for grammar inference. 238-249 - David Lorenzo:
Inductive logic programming for discrete event systems. 250-261
Session: Inference of Stochastic Models 2
- Mostefa Golea, Masahiro Matsuoka, Yasubumi Sakakibara:
Stochastic simple recurrent neural networks. 262-273 - Rafael C. Carrasco, Mikel L. Forcada, Laureano Santamaría:
Inferring stochastic regular grammars with recurrent neural networks. 274-281 - Francisco Casacuberta:
Maximum mutual information and conditional maximum likelihood estimation of stochastic regular syntax-directed translation schemes. 282-291
Session: Operational Issues
- Jean-Yves Giordano:
Grammatical inference using tabu search. 292-300 - José Oncina, Miguel Angel Varó:
Using domain information during the learning of a subsequential transducer. 301-312 - Colin de la Higuera, José Oncina, Enrique Vidal:
Identification of DFA: data-dependent vs data-independent algorithms. 313-325
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