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Augmented regular expressions: a formalism to describe, recognize, and learn a class of context-sensitive languages

Author
Alquezar, R.; Sanfeliu, A.
Type of activity
Report
Date
1995-04
Repository
http://hdl.handle.net/2117/82163 Open in new window
Abstract
In order to extend the potential of application of the syntactic approach to pattern recognition, the efficient use of models capable of describing context-sensitive structural relationships is needed. Moreover, the ability to learn such models from examples is interesting to automate as much as possible the development of applications. In this paper, a new formalism that permits to describe a non-trivial class of context-sensitive languages, the Augmented Regular Expressions (AREs), is introduc...
Citation
Alquézar Mancho, René; Sanfeliu, A. "Augmented regular expressions: a formalism to describe, recognize, and learn a class of context-sensitive languages". 1995.
Group of research
SOCO - Soft Computing
VIS - Artificial Vision and Intelligent Systems

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