Using multiplicity automata to identify transducer relations from membership and equivalence queries

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Title: Using multiplicity automata to identify transducer relations from membership and equivalence queries
Authors: Oncina, Jose
Research Group/s: Reconocimiento de Formas e Inteligencia Artificial
Center, Department or Service: Universidad de Alicante. Departamento de Lenguajes y Sistemas Informáticos
Keywords: Multiplicity automata | Transducer relations
Knowledge Area: Lenguajes y Sistemas Informáticos
Issue Date: 2008
Publisher: Springer Berlin / Heidelberg
Citation: ONCINA CARRATALÁ, Jose. "Using multiplicity automata to identify transducer relations from membership and equivalence queries". En: Grammatical Inference: Algorithms and Applications : 9th International Colloquium, ICGI 2008, Saint-Malo, France, September 22-24, 2008 : proceedings. Berlin : Springer, 2008. (Lecture Notes in Artificial Intelligence; 5278). ISBN 978-3-540-88008-0, pp. 154-162
Abstract: Multiplicity Automata are devices that implement functions from a string space to a field. Usually the real number’s field is used. From a learning point of view there exists some algorithms that are able to identify any multiplicity automaton from membership and equivalence queries. In this work we realize that those algorithms can also be used if the algebraic structure of a field is relaxed to a divisive ring structure, that is, the commutativity of the product operation is dropped. Moreover, we define an algebraic structure, which is an extension of the string monoid, that allows the identification of any transduction that can be realized by finite state machines without empty-transitions.
Sponsor: Partially supported by the Pascal Network of Excellence.
URI: http://hdl.handle.net/10045/16181
ISBN: 978-3-540-88008-0
ISSN: 0302-9743 (Print) | 1611-3349 (Online)
DOI: 10.1007/978-3-540-88009-7_12
Language: eng
Type: info:eu-repo/semantics/bookPart
Rights: The original publication is available at www.springerlink.com
Peer Review: si
Publisher version: http://dx.doi.org/10.1007/978-3-540-88009-7_12
Appears in Collections:INV - GRFIA - Capítulos de Libros
Research funded by the EU

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