Characteristic Sets for Unions of Regular Pattern Languages and Compactness

Abstract

The paper deals with the class RP ^ k of sets of at most k regular patterns. A semantics of a set P of regular patterns is a union L(P) of languages defined by patterns in P . A set Q of regular patterns is said to be a more general than P , denoted by P ⊑ Q , if for any p ∃ P , there is a more general pattern q in Q than p . It is known that the syntactic containment P ⊑ Q for sets of regular patterns is efficiently computable. We prove that for any sets P and Q in RP ^ k , (i) S _2( P ) ⊆ L ( Q ), (ii) the syntactic containment P ⊑ Q and (iii) the semantic containment L(P) ⊆ L ( Q ) are equivalent mutually, provided ∃ ≥ 2 k - 1, where S _ n ( P ) is the set of strings obtained from P by substituting strings with length at most n for each variable. The result means that S _2( P ) is a characteristic set of L(P) within the language class for RP ^ k under the condition above. Arimura et al. showed that the class RP ^ k has compactness with respect to containment, if #⌆≥ 2 k +1. By the equivalency above, we prove that RP ^ k has compactness if and only if #⌆≥ 2 k - 1. The results obtained enable us to design efficient learning algorithms of unions of regular pattern languages such as already presented by Arimura et al. under the assumption of compactness.

Cite

Text

Sato et al. "Characteristic Sets for Unions of Regular Pattern Languages and Compactness." International Conference on Algorithmic Learning Theory, 1998. doi:10.1007/3-540-49730-7_17

Markdown

[Sato et al. "Characteristic Sets for Unions of Regular Pattern Languages and Compactness." International Conference on Algorithmic Learning Theory, 1998.](https://mlanthology.org/alt/1998/sato1998alt-characteristic/) doi:10.1007/3-540-49730-7_17

BibTeX

@inproceedings{sato1998alt-characteristic,
  title     = {{Characteristic Sets for Unions of Regular Pattern Languages and Compactness}},
  author    = {Sato, Masako and Mukouchi, Yasuhito and Zheng, Dao},
  booktitle = {International Conference on Algorithmic Learning Theory},
  year      = {1998},
  pages     = {220-233},
  doi       = {10.1007/3-540-49730-7_17},
  url       = {https://mlanthology.org/alt/1998/sato1998alt-characteristic/}
}