Universal automata and NFA learning

Pedro García, Manuel Vázquez de Parga, Gloria I. Álvarez, José Ruiz

Producción: Contribución a una revistaArtículorevisión exhaustiva

20 Citas (Scopus)

Resumen

The aim of this paper is to develop a new algorithm that, with a complete sample as input, identifies the family of regular languages by means of nondeterministic finite automata. It is a state-merging algorithm. One of its main features is that the convergence (which is proved) is achieved independently from the order in which the states are merged, that is, the merging of states may be done "randomly".

Idioma originalInglés
Páginas (desde-hasta)192-202
Número de páginas11
PublicaciónTheoretical Computer Science
Volumen407
N.º1-3
DOI
EstadoPublicada - 06 nov. 2008

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