首页    期刊浏览 2024年11月27日 星期三
登录注册

文章基本信息

  • 标题:Refutability and Reliability for Inductive Inference of Recursive Real-Valued Functions
  • 本地全文:下载
  • 作者:Eiju Hirowatari ; Kouichi Hirata ; Tetsuhiro Miyahara
  • 期刊名称:Information and Media Technologies
  • 电子版ISSN:1881-0896
  • 出版年度:2006
  • 卷号:1
  • 期号:1
  • 页码:33-44
  • DOI:10.11185/imt.1.33
  • 出版社:Information and Media Technologies Editorial Board
  • 摘要:Inductive inference gives us a theoretical model of concept learning from examples. In this paper, we study refutably and reliably inductive inference of recursive real-valued functions . First we introduce the new criteria RealRefEx for refutable inference and RealRelEx for reliable inference. Then, we compare these two criteria with RealEx for identification in the limit, RealFin for learning finitely and RealNum¡ for learning by enumeration that have been already introduced in the previous works, and investigate their interaction. In particular, we show that RealRefEx and RealRelEx are closed under union, as similar as the criteria RefEx and RelEx for inductive inference of recursive functions.
国家哲学社会科学文献中心版权所有