PAC learning of some subclasses of context-free grammars with basic distributional properties from positive data

Chihiro Shibata; Ryo Yoshinaka

doi:10.1007/978-3-642-40935-6_11

PAC learning of some subclasses of context-free grammars with basic distributional properties from positive data

Chihiro Shibata, Ryo Yoshinaka

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

6 Citations (Scopus)

Abstract

In recent years different interesting subclasses of cfls have been found to be learnable by techniques generically called distributional learning. The theoretical study on the exact learning of cfls by those techniques under different learning scheme is now quite mature. On the other hand, positive results on the pac learnability of cfls are rather limited and quite weak. This paper shows that several subclasses of context-free languages that are known to be exactly learnable with membership queries by distributional learning techniques are pac learnable from positive data under some assumptions on the string distribution.

Original language	English
Title of host publication	Algorithmic Learning Theory - 24th International Conference, ALT 2013, Proceedings
Pages	143-157
Number of pages	15
DOIs	https://doi.org/10.1007/978-3-642-40935-6_11
Publication status	Published - 2013 Nov 18
Externally published	Yes
Event	24th International Conference on Algorithmic Learning Theory, ALT 2013 - Singapore, Singapore Duration: 2013 Oct 6 → 2013 Oct 9

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	8139 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	24th International Conference on Algorithmic Learning Theory, ALT 2013
Country	Singapore
City	Singapore
Period	13/10/6 → 13/10/9

ASJC Scopus subject areas

Theoretical Computer Science
Computer Science(all)

Access to Document

10.1007/978-3-642-40935-6_11

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Cite this

Shibata, C., & Yoshinaka, R. (2013). PAC learning of some subclasses of context-free grammars with basic distributional properties from positive data. In Algorithmic Learning Theory - 24th International Conference, ALT 2013, Proceedings (pp. 143-157). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8139 LNAI). https://doi.org/10.1007/978-3-642-40935-6_11

PAC learning of some subclasses of context-free grammars with basic distributional properties from positive data. / Shibata, Chihiro; Yoshinaka, Ryo.

Algorithmic Learning Theory - 24th International Conference, ALT 2013, Proceedings. 2013. p. 143-157 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8139 LNAI).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Shibata, C & Yoshinaka, R 2013, PAC learning of some subclasses of context-free grammars with basic distributional properties from positive data. in Algorithmic Learning Theory - 24th International Conference, ALT 2013, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 8139 LNAI, pp. 143-157, 24th International Conference on Algorithmic Learning Theory, ALT 2013, Singapore, Singapore, 13/10/6. https://doi.org/10.1007/978-3-642-40935-6_11

Shibata C, Yoshinaka R. PAC learning of some subclasses of context-free grammars with basic distributional properties from positive data. In Algorithmic Learning Theory - 24th International Conference, ALT 2013, Proceedings. 2013. p. 143-157. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-642-40935-6_11

Shibata, Chihiro ; Yoshinaka, Ryo. / PAC learning of some subclasses of context-free grammars with basic distributional properties from positive data. Algorithmic Learning Theory - 24th International Conference, ALT 2013, Proceedings. 2013. pp. 143-157 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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