AbstractAutomatic classes are classes of languages for which a finite automaton can decide the membership problem for the languages in the class, in a uniform way, given an index for the language. For alphabet size of at least 4, every automatic class of erasing pattern languages is contained, for some constant n, in the class of all languages generated by patterns which contain (1) every variable only once and (2) at most n symbols after the first occurrence of a variable. It is shown that such a class is automatically learnable using a learner with the length of the long-term memory being bounded by the length of the first example seen. The study is extended to show the learnability of related classes such as the class of unions of two pa...
This paper examines the learnability of a major subclass of E-pattern languages – also known as eras...
AbstractA pattern is a finite string of constant and variable symbols. The language generated by a p...
We proposes an algorithm to learn automata infinite alphabets, or at least too large to enumerate. W...
AbstractAutomatic classes are classes of languages for which a finite automaton can decide the membe...
AbstractThe present work initiates the study of the learnability of automatic indexable classes whic...
AbstractA pattern is a finite string of constant and variable symbols. The non-erasing language gene...
Abstract. Automatic classes are classes of languages for which a finite automaton can decide whether...
AbstractIn this paper we consider uncountable classes recognizable by ω-automata and investigate sui...
We introduce and study a model for learning in the limit by finite automata from positive data and n...
AbstractAn algorithm for learning a subclass of erasing regular pattern languages is presented. On e...
In this paper we consider uncountable classes recognizable by ω-automata and investigate suitable le...
AbstractWe present efficient on-line algorithms for learning unions of a constant number of tree pat...
We introduce and explore a model for parallel learning of families of languages computable by finite...
Learning regular languages is a branch of machine learning, which has been proved useful in many are...
This paper shows how factored finite-state representations of subregular lan-guage classes are ident...
This paper examines the learnability of a major subclass of E-pattern languages – also known as eras...
AbstractA pattern is a finite string of constant and variable symbols. The language generated by a p...
We proposes an algorithm to learn automata infinite alphabets, or at least too large to enumerate. W...
AbstractAutomatic classes are classes of languages for which a finite automaton can decide the membe...
AbstractThe present work initiates the study of the learnability of automatic indexable classes whic...
AbstractA pattern is a finite string of constant and variable symbols. The non-erasing language gene...
Abstract. Automatic classes are classes of languages for which a finite automaton can decide whether...
AbstractIn this paper we consider uncountable classes recognizable by ω-automata and investigate sui...
We introduce and study a model for learning in the limit by finite automata from positive data and n...
AbstractAn algorithm for learning a subclass of erasing regular pattern languages is presented. On e...
In this paper we consider uncountable classes recognizable by ω-automata and investigate suitable le...
AbstractWe present efficient on-line algorithms for learning unions of a constant number of tree pat...
We introduce and explore a model for parallel learning of families of languages computable by finite...
Learning regular languages is a branch of machine learning, which has been proved useful in many are...
This paper shows how factored finite-state representations of subregular lan-guage classes are ident...
This paper examines the learnability of a major subclass of E-pattern languages – also known as eras...
AbstractA pattern is a finite string of constant and variable symbols. The language generated by a p...
We proposes an algorithm to learn automata infinite alphabets, or at least too large to enumerate. W...