IEICE Transactions on Information and Systems E75-D, 426-434, 1992; Proc. 2nd International Workshop on Nonmonotonic and Inductive Logic 1991, Lecture Notes in Artificial Intelligence 659), 118-131, 1993.In this paper we consider the polynomial time inferability from positive data for unions of two tree pattern languages. A tree pattern is a structured pattern known as a term in logic programming and term rewriting systems, and a tree pattern language is the set of all ground instances of a tree pattern. We present a polynomial time algorithm to find a minimal union of two tree pattern languages containing given examples. Our algorithm can be considered as a natural extension of Plotkin\u27s least generalization algorithm, which find...
A pattern is a finite string of constant and variable symbols. The language generated by a pattern i...
Recognizable tree sets are a generalization of regular languages. We show that the class of recogniz...
AbstractWe investigate regular tree languages’ exact learning from positive examples and membership ...
A pattern is a string of constant symbols and variables. The language defined by a pattern p is the...
Abstract. Tree structured data such as HTML/XML files are repre-sented by rooted trees with ordered ...
The k-minimal multiple generalization (k-mmg) is a natural extension of the least generalization (lg...
A pattern is a string of constant symbols and variable symbols. The language $ L(p) $ of a pattern $...
This paper deals with a class of Prolog programs, called context-free term transformations (CFT). We...
Abstract. In the fields of data mining and knowledge discovery, many semistructured data such as HTM...
AbstractA pattern is a string consisting of constant symbols and variables. The language of a patter...
AbstractThis paper investigates efficient learning of TPk, the class of collections of at most k fir...
Abstract—In this paper, we study the notion of-reversibility and-testability when regular tree langu...
Abstract. We consider the polynomial time learnability of finite unions of ordered tree patterns wit...
AbstractWe present efficient on-line algorithms for learning unions of a constant number of tree pat...
Abstract. In order to represent structural features common to tree structured data, we propose an un...
A pattern is a finite string of constant and variable symbols. The language generated by a pattern i...
Recognizable tree sets are a generalization of regular languages. We show that the class of recogniz...
AbstractWe investigate regular tree languages’ exact learning from positive examples and membership ...
A pattern is a string of constant symbols and variables. The language defined by a pattern p is the...
Abstract. Tree structured data such as HTML/XML files are repre-sented by rooted trees with ordered ...
The k-minimal multiple generalization (k-mmg) is a natural extension of the least generalization (lg...
A pattern is a string of constant symbols and variable symbols. The language $ L(p) $ of a pattern $...
This paper deals with a class of Prolog programs, called context-free term transformations (CFT). We...
Abstract. In the fields of data mining and knowledge discovery, many semistructured data such as HTM...
AbstractA pattern is a string consisting of constant symbols and variables. The language of a patter...
AbstractThis paper investigates efficient learning of TPk, the class of collections of at most k fir...
Abstract—In this paper, we study the notion of-reversibility and-testability when regular tree langu...
Abstract. We consider the polynomial time learnability of finite unions of ordered tree patterns wit...
AbstractWe present efficient on-line algorithms for learning unions of a constant number of tree pat...
Abstract. In order to represent structural features common to tree structured data, we propose an un...
A pattern is a finite string of constant and variable symbols. The language generated by a pattern i...
Recognizable tree sets are a generalization of regular languages. We show that the class of recogniz...
AbstractWe investigate regular tree languages’ exact learning from positive examples and membership ...