An inductive inference problem of context-free languages is investigated. There have been many attempts to this problem, and most of them are based on a problem setting in which a representation space for hypotheses is a class of context-free grammars. An inference algorithm given in this paper, on the contrary, employs a kind of extensions of regular expressions called context-free expressions as a representation space for context-free languages. The algorithm, based on the notion of an identification in the limit, is significantly concise when compared with existing algorithms. 1
We survey methods for learning context-free languages (CFL’s) in the theoretical computer science li...
In order to extend the potential of application of the syntactic approach to pattern recognition, th...
This paper develops a mathematical theory of language identification from a set theoretic viewpoint....
Editor: editor We present a polynomial update time algorithm for the inductive inference of a large ...
The classical definition of the grammatical inference problem is to find a grammar for a language, g...
Goal of this work was to develop a tool for testing algorithms of grammatical inference of context-f...
Abstract. This paper formalisms the idea of substitutability introduced by Zellig Harris in the 1950...
In this paper, a new formalism that permits to represent a non-trivial class of context-sensitive la...
Abstract--In this paper, a new formalism that permits to represent a non-trivial class of context-se...
International audienceWe present a polynomial update time algorithm for the inductive inference of a...
International audienceWe present a polynomial algorithm for the inductive inference of a large class...
In this paper, a new formalism that permits to represent a non-trivial class of context-sensitive la...
Recognizable tree sets are a generalization of regular languages. We show that the class of recogniz...
We survey methods for learning context-free languages (CFL's) in the theoretical computer science li...
International Conference on Pattern Recognition (ICPR), 1996, Viena (Austria)Recently augmented regu...
We survey methods for learning context-free languages (CFL’s) in the theoretical computer science li...
In order to extend the potential of application of the syntactic approach to pattern recognition, th...
This paper develops a mathematical theory of language identification from a set theoretic viewpoint....
Editor: editor We present a polynomial update time algorithm for the inductive inference of a large ...
The classical definition of the grammatical inference problem is to find a grammar for a language, g...
Goal of this work was to develop a tool for testing algorithms of grammatical inference of context-f...
Abstract. This paper formalisms the idea of substitutability introduced by Zellig Harris in the 1950...
In this paper, a new formalism that permits to represent a non-trivial class of context-sensitive la...
Abstract--In this paper, a new formalism that permits to represent a non-trivial class of context-se...
International audienceWe present a polynomial update time algorithm for the inductive inference of a...
International audienceWe present a polynomial algorithm for the inductive inference of a large class...
In this paper, a new formalism that permits to represent a non-trivial class of context-sensitive la...
Recognizable tree sets are a generalization of regular languages. We show that the class of recogniz...
We survey methods for learning context-free languages (CFL's) in the theoretical computer science li...
International Conference on Pattern Recognition (ICPR), 1996, Viena (Austria)Recently augmented regu...
We survey methods for learning context-free languages (CFL’s) in the theoretical computer science li...
In order to extend the potential of application of the syntactic approach to pattern recognition, th...
This paper develops a mathematical theory of language identification from a set theoretic viewpoint....