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  • 标题:Exact Learning of Regular Pattern Languages from One Positive Example Using a Linear Number of Membership Queries
  • 本地全文:下载
  • 作者:Satoshi Matsumoto ; Tomoyuki Uchida ; Takayoshi Shoudai
  • 期刊名称:Lecture Notes in Engineering and Computer Science
  • 印刷版ISSN:2078-0958
  • 电子版ISSN:2078-0966
  • 出版年度:2019
  • 卷号:2239
  • 页码:204-209
  • 出版社:Newswood and International Association of Engineers
  • 摘要:A query learning model is an established mathematical model of learning via queries in computational learning theory. A regular pattern is a string consisting of constant symbols and distinct variable symbols. The language of a regular pattern is the set of all constant strings obtained by replacing all variable symbols in the regular pattern with constant strings. In a query learning model, it is known that the class of languages of regular patterns is identifiable from one positive example using a polynomial number of membership queries. In this paper, we show that the class is identifiable from one positive example using a linear number of membership queries. This result means that the number of membership queries is reduced to be linear with respect to the length of the positive example.
  • 关键词:pattern language; membership query; query learning; computational learning theory
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