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Abstract: Residual languages are important and natural components of regular languages. Most approaches in grammatical inference rely on this notion. Classical algorithms such as RPNI try to identify prefixes of positive learning examples which give rise to identical residuals. Here, we study inclusion relations between residual languages. We lead experiments which show that when regular languages are randomly drawn using non deterministic representations, the number of inclusion relations is very... (Update)
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.... de ces travaux, nous utilisons ici la notion de langage r esiduel que nous avons d ej a exploit e dans [DLT00] DLT01b] et [DLT01a] a n de d e nir de nouvelles classes de langages identi ables a la limite par exemples positifs seuls. Mots Cl es : inf erence...
...from positive data. In the same framework, we use here the notion of residual languages that we already used in [DLT00] DLT01b] et [DLT01a] to de ne new classes of languages identi able in the limit from positive data. Key Words : grammatical inference, regular languages,...
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BibTeX entry: (Update)
Denis, F., Lemay, A., Terlutte, A.: Learning regular languages using RFSA, ALT 2001. http://citeseer.ist.psu.edu/article/denis01learning.html More
@article{ denis01learning,
author = "Fran{\c{c}}ois Denis and Aur{\'e}lien Lemay and Alain Terlutte",
title = "Learning Regular Languages Using {RFSA}",
journal = "Lecture Notes in Computer Science",
volume = "2225",
pages = "348+",
year = "2001",
url = "citeseer.ist.psu.edu/article/denis01learning.html" }
Citations (may not include all citations):
1911
Introduction to Automata Theory (context) - Hopcroft, Ullman - 1979
107
Approximate statistical tests for comparing supervised class..
- Dietterich - 1998
66
Derivatives of regular expressions (context) - Brzozowski - 1964
53
Inferring regular languages in polynomial update time (context) - Oncina, Garcia - 1992
28
Results of the Abbadingo one DFA learning competition and a ..
- Lang, Pearlmutter et al. - 1998
16
Characteristic sets for polynomial grammatical inference
- Higuera - 1997
9
Complexity of automaton identi cation from given data (context) - Gold - 1978
9
Learning regular languages using non deterministic nite auto..
- Denis, Lemay et al. - 2000
8
Handbook of Formal Languages (context) - Yu - 1997
7
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Ecient ambiguity detection in c-nfa (context) - Coste, Fredouille - 2000
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