Fenner, Stephen; Gasarch, William; Postow, Brian The complexity of learning SUBSEQ\((A)\). (English) Zbl 1180.03041 J. Symb. Log. 74, No. 3, 939-975 (2009). The properties of SUBSEQ(\(A\)) are considered, where \(A\) is any language and SUBSEQ(\(A\)) is the set of subsequences of strings in \(A\). The investigation is focussed on learning of a deterministic finite automaton (DFA) to accept the regular language SUBSEQ(\(A\)). The model of learning from the Inductive Inference theory is applied: the desirable DFA is obtained as a limit of the sequence whose steps are defined by the lexicographically enumerated strings of \(A\) (one string at a time). Reviewer: Antanas Žilinskas (Vilnius) MSC: 03D80 Applications of computability and recursion theory 68Q32 Computational learning theory 68Q45 Formal languages and automata Keywords:formal languages; machine learning; inductive inference; complexity PDF BibTeX XML Cite \textit{S. Fenner} et al., J. Symb. Log. 74, No. 3, 939--975 (2009; Zbl 1180.03041) Full Text: DOI Link OpenURL