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

Chihiro Shibata, Ryo Yoshinaka

研究成果: Conference contribution

7 被引用数 (Scopus)

抄録

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.

本文言語English
ホスト出版物のタイトルAlgorithmic Learning Theory - 24th International Conference, ALT 2013, Proceedings
ページ143-157
ページ数15
DOI
出版ステータスPublished - 2013
外部発表はい
イベント24th International Conference on Algorithmic Learning Theory, ALT 2013 - Singapore, Singapore
継続期間: 2013 10 62013 10 9

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
8139 LNAI
ISSN(印刷版)0302-9743
ISSN(電子版)1611-3349

Other

Other24th International Conference on Algorithmic Learning Theory, ALT 2013
国/地域Singapore
CitySingapore
Period13/10/613/10/9

ASJC Scopus subject areas

  • 理論的コンピュータサイエンス
  • コンピュータ サイエンス(全般)

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