Grammatical inference : 4th international colloquium, ICGI-98, Ames, Iowa, USA, July 12-14, 1998 : proceedings / Vasant Honavar, Giora Slutzki (eds.).

Contributor(s): Honavar, Vasant | Slutzki, Giora | International Colloquium on Grammatical Inference (4th : 1998 : Ames, Iowa)
Material type: TextTextSeries: SerienbezeichnungLecture notes in computer science: 1433.; Lecture notes in computer science: Publisher: Berlin ; New York : Springer, ©1998Description: x, 270 pages : illustrations ; 24 cmContent type: text Media type: unmediated Carrier type: volumeISBN: 3540647767; 9783540647768Other title: ICGI-98, grammatical inference [Spine title]Subject(s): Formal languages -- Congresses | Logic, Symbolic and mathematical -- Congresses | Langages formels -- Congrès | Logique symbolique et mathématique -- Congrès | Formal languages | Logic, Symbolic and mathematical | Formale Grammatik | Grammatik | Inferenz Künstliche Intelligenz | Maschinelles Lernen | Kongress | Afleiding (logica) | Grammatica | Inteligencia artificial | Langages formels -- Congrès | Logique symbolique et mathématique -- CongrèsGenre/Form: Kongress -- Ames (Iowa) -- 1998. | Electronic books. | Conference papers and proceedings. | Ames (Iowa, 1998) Additional physical formats: Online version:: Grammatical inference.DDC classification: 005.13/1 LOC classification: QA267.3 | .G66 1998Other classification: 54.72 | SS 1998 | SS 4800 | 28 | DAT 554f Online resources: Click here to access online
Contents:
Results of the Abbadingo one DFA learning competition and a new evidence-driven state merging algorithm / Kevin J. Lang, Barak A. Pearlmutter, and Rodney A. Price -- Learning k-variable pattern languages efficiently stochastically finite on average from positive data / Peter Rossmanith and Thomas Zeugmann -- Meaning helps learning syntax / Isabelle Tellier -- A polynomial time incremental algorithm for learning DFA / Rajesh Parekh, Codrin Nichitiu, and Vasant Honavar -- The data driven approach applied to the OSTIA algorithm / José Oncina -- Grammar model and grammar induction in the system NL PAGE / Vlado Kešelj -- Approximate learning of random subsequential transducers / Antonio Castellanos -- Learning stochastic finite automata from experts / Colin de la Higuera -- Learning deterministic finite automation with a recurrent neural network / Laura Firoiu, Tim Oates, and Paul R. Cohen -- Applying grammatical inference in learning a language model for oral dialogue / Jacques Chodorowski and Laurent Miclet -- Real language learning / Jerome A. Feldman -- A stochastic search approach to grammar induction / Hugues Juillé and Jordan B. Pollack -- Transducer-learning experiments on language understanding / David Picó and Enrique Vidal -- Locally threshold testable languages in strict sense : application to the inference problem / José Ruiz, Salvador España, and Pedro García -- Learning a subclass of linear languages from positive structural information / José M. Sempere and G. Nagaraja -- Grammatical inference in document recognition / Alexander S. Saidi and Souad Tayeb-bey -- Stochastic inference of regular tree languages / Rafael C. Carrasco, José Oncina, and Jorge Calera -- How considering incompatible state mergings may reduce the DFA induction search tree / François Coste and Jacques Nicolas -- Learning regular grammars to model musical style : comparing different coding schemes / Pedro P. Cruz-Alcázar and Enrique Vidal-Ruiz -- Learning a subclass of context-free languages / J.D. Emerald, K.G. Subramanian, and D.G Thomas -- Using symbol clustering to improve probabilistic automation inference / Pierre Dupont and Lin Chase -- A performance evaluation of automatic survey classifiers / Peter Viechnicki -- Pattern discovery in biosequences / Alvis Brazma [and others].
Summary: This book constitutes the refereed proceedings of the Fourth International Colloquium on Grammatical Inference, ICGI-98, held in Ames, Iowa, in July 1998. The 23 revised full papers were carefully reviewed and selected for inclusion in the book from a total of 35 submissions. The book addresses a wide range of grammatical inference theory such as automata induction, grammar induction, automatic language acquisition, etc. as well as a variety of applications in areas like syntactic pattern recognition, adaptive intelligent agents, diagnosis, computational biology, data mining, and knowledge discovery.
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Proceedings of the Fourth International Colloquium on Grammatical Inference.

Includes bibliographical references and index.

Results of the Abbadingo one DFA learning competition and a new evidence-driven state merging algorithm / Kevin J. Lang, Barak A. Pearlmutter, and Rodney A. Price -- Learning k-variable pattern languages efficiently stochastically finite on average from positive data / Peter Rossmanith and Thomas Zeugmann -- Meaning helps learning syntax / Isabelle Tellier -- A polynomial time incremental algorithm for learning DFA / Rajesh Parekh, Codrin Nichitiu, and Vasant Honavar -- The data driven approach applied to the OSTIA algorithm / José Oncina -- Grammar model and grammar induction in the system NL PAGE / Vlado Kešelj -- Approximate learning of random subsequential transducers / Antonio Castellanos -- Learning stochastic finite automata from experts / Colin de la Higuera -- Learning deterministic finite automation with a recurrent neural network / Laura Firoiu, Tim Oates, and Paul R. Cohen -- Applying grammatical inference in learning a language model for oral dialogue / Jacques Chodorowski and Laurent Miclet -- Real language learning / Jerome A. Feldman -- A stochastic search approach to grammar induction / Hugues Juillé and Jordan B. Pollack -- Transducer-learning experiments on language understanding / David Picó and Enrique Vidal -- Locally threshold testable languages in strict sense : application to the inference problem / José Ruiz, Salvador España, and Pedro García -- Learning a subclass of linear languages from positive structural information / José M. Sempere and G. Nagaraja -- Grammatical inference in document recognition / Alexander S. Saidi and Souad Tayeb-bey -- Stochastic inference of regular tree languages / Rafael C. Carrasco, José Oncina, and Jorge Calera -- How considering incompatible state mergings may reduce the DFA induction search tree / François Coste and Jacques Nicolas -- Learning regular grammars to model musical style : comparing different coding schemes / Pedro P. Cruz-Alcázar and Enrique Vidal-Ruiz -- Learning a subclass of context-free languages / J.D. Emerald, K.G. Subramanian, and D.G Thomas -- Using symbol clustering to improve probabilistic automation inference / Pierre Dupont and Lin Chase -- A performance evaluation of automatic survey classifiers / Peter Viechnicki -- Pattern discovery in biosequences / Alvis Brazma [and others].

This book constitutes the refereed proceedings of the Fourth International Colloquium on Grammatical Inference, ICGI-98, held in Ames, Iowa, in July 1998. The 23 revised full papers were carefully reviewed and selected for inclusion in the book from a total of 35 submissions. The book addresses a wide range of grammatical inference theory such as automata induction, grammar induction, automatic language acquisition, etc. as well as a variety of applications in areas like syntactic pattern recognition, adaptive intelligent agents, diagnosis, computational biology, data mining, and knowledge discovery.

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