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ORCID6. ICGI 2002: Amsterdam, The Netherlands
- Pieter W. Adriaans, Henning Fernau, Menno van Zaanen:
Grammatical Inference: Algorithms and Applications, 6th International Colloquium: ICGI 2002, Amsterdam, The Netherlands, September 23-25, 2002, Proceedings. Lecture Notes in Computer Science 2484, Springer 2002, ISBN 3-540-44239-1
Contributions
- Cláudia Antunes, Arlindo L. Oliveira
:
Inference of Sequential Association Rules Guided by Context-Free Grammars. 1-13 - Anja Belz:
PCFG Learning by Nonterminal Partition Search. 14-27 - Antonio Cano, José Ruiz, Pedro García:
Inferring Subclasses of Regular Languages Faster Using RPNI and Forbidden Configurations. 28-36 - Orlando Cicchello, Stefan C. Kremer:
Beyond EDSM. 37-48 - Christophe Costa Florêncio:
Consistent Identification in the Limit of Rigid Grammars from Strings Is NP-hard. 49-62 - François Denis, Aurélien Lemay, Alain Terlutte:
Some Classes of Regular Languages Identifiable in the Limit from Positive Data. 63-76 - Yann Esposito, Aurélien Lemay, François Denis, Pierre Dupont:
Learning Probabilistic Residual Finite State Automata. 77-91 - Henning Fernau:
Fragmentation: Enhancing Identifiability. 92-105 - Annie Foret, Yannick Le Nir:
On Limit Points for Some Variants of Rigid Lambek Grammars. 106-119 - Amaury Habrard, Marc Bernard, François Jacquenet:
Generalized Stochastic Tree Automata for Multi-relational Data Mining. 120-133 - Colin de la Higuera, José Oncina:
On Sufficient Conditions to Identify in the Limit Classes of Grammars from Polynomial Time and Data. 134-148 - Christopher Kermorvant, Pierre Dupont:
Stochastic Grammatical Inference with Multinomial Tests. 149-160 - Christopher Kermorvant, Colin de la Higuera:
Learning Languages with Help. 161-173 - Katsuhiko Nakamura, Masashi Matsumoto:
Incremental Learning of Context Free Grammars. 174-184 - Tim Oates, Brent Heeringa:
Estimating Grammar Parameters Using Bounded Memory. 185-198 - Juan Ramón Rico-Juan, Jorge Calera-Rubio, Rafael C. Carrasco:
Stochastic k-testable Tree Languages and Applications. 199-212 - Yoav Seginer:
Fast Learning from Strings of 2-Letter Rigid Grammars. 213-224 - José M. Sempere, Pedro García:
Learning Locally Testable Even Linear Languages from Positive Data. 225-236 - Bradford Starkie:
Inferring Attribute Grammars with Structured Data for Natural Language Processing. 237-248 - Yasuhiro Tajima, Matsuaki Terada:
A PAC Learnability of Simple Deterministic Languages. 249-260 - Sebastiaan Terwijn:
On the Learnability of Hidden Markov Models. 261-268 - Franck Thollard, Alexander Clark:
Shallow Parsing Using Probabilistic Grammatical Inference. 269-282 - D. Gnanaraj Thomas, M. Humrosia Begam, K. G. Subramanian, S. Gnanasekaran:
Learning of Regular Bi-omega Languages. 283-292
Software Descriptions
- Pieter W. Adriaans, Marco Vervoort:
The EMILE 4.1 Grammar Induction Toolbox. 293-295 - Stephan K. Chalup, Alan D. Blair:
Software for Analysing Recurrent Neural Nets That Learn to Predict Non-regular Languages. 296-298 - Liviu-Virgil Ciortuz:
A Framework for Inductive Learning of Typed-Unification Grammars. 299-302 - Daniela Dudau Sofronie, Isabelle Tellier, Marc Tommasi:
A Tool for Language Learning Based on Categorial Grammars and Semantic Information. 303-305 - Sam Lievesley, Eric Atwell:
'NAIL': Artificial Intelligence Software for Learning Natural Language. 306-308 - Bradford Starkie, Greg Findlow, Khanh Ho, Alvaro Hui, Lawrence Law, Liron Lightwood, Simon Michnowicz, Christian J. Walder:
LyrebirdTM: Developing Spoken Dialog Systems Using Examples. 309-311 - Menno van Zaanen:
Implementing Alignment-Based Learning. 312-314
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