Inference of Residual Finite-State Tree Automata from Membership Queries and Finite Positive Data
Identifieur interne : 000006 ( LNCS/Analysis ); précédent : 000005; suivant : 000007Inference of Residual Finite-State Tree Automata from Membership Queries and Finite Positive Data
Auteurs : Anna Kasprzik [Allemagne]Source :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2011.
Abstract
Abstract: The area of Grammatical Inference centers on learning algorithms: Algorithms that infer a description (e.g., a grammar or an automaton) for an unknown formal language from given information in finitely many steps. Various conceivable learning settings have been outlined, and based on those a range of algorithms have been developed. One of the language classes studied most extensively with respect to its algorithmical learnability is the class of regular string languages.
Url:
DOI: 10.1007/978-3-642-22321-1_45
Affiliations:
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<front><div type="abstract" xml:lang="en">Abstract: The area of Grammatical Inference centers on learning algorithms: Algorithms that infer a description (e.g., a grammar or an automaton) for an unknown formal language from given information in finitely many steps. Various conceivable learning settings have been outlined, and based on those a range of algorithms have been developed. One of the language classes studied most extensively with respect to its algorithmical learnability is the class of regular string languages.</div>
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