Foundations of deductive databases and logic programming
Identification of unions of languages drawn from an identifiable class
COLT '89 Proceedings of the second annual workshop on Computational learning theory
On uniform learnability of language families
Information Processing Letters
Inductive inference of unbounded unions of pattern languages from positive data
Theoretical Computer Science - Special issue on algorithmic learning theory
Learning Bounded Unions of Noetherian Closed Set Systems Via Characteristic Sets
ICGI '08 Proceedings of the 9th international colloquium on Grammatical Inference: Algorithms and Applications
Inferability of closed set systems from positive data
JSAI'06 Proceedings of the 20th annual conference on New frontiers in artificial intelligence
Computing characteristic sets of bounded unions of polynomial ideals
JSAI'07 Proceedings of the 2007 conference on New frontiers in artificial intelligence
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In this article, we study inferability from positive data for the unbounded union of certain class of languages. In order to show inferability, we put an emphasis on a characteristic set of a given language. We consider a class of closed set systems such that there exists an algorithm for generating a characteristic set consisting of one element. Two concrete examples of closed set systems with such algorithms are given. Furthermore, we consider applications of these examples to the study of transaction databases.