The functions of finite support: a canonical learning problem

Rusins Freivalds; Efim Kinber; Carl H.Smith

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The functions of finite support: a canonical learning problem

机译：有限支持的功能：规范的学习问题

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摘要

The functions of finite support have played a ubiquitous role in the study of inductive inference since its inception. In addition to providing a clear and simple example of a learnable class, the functions of finite support are employed in many proofs that distinguish various types and features of learning. Recent results show that this ostensibly simple class requires as much space to learn as any other learnable set and, furthermore, is as intrinsically difficult as any other learnable set.

机译：自从归纳推理开始以来，有限支持的功能就在归纳推理研究中发挥了普遍作用。除了提供清晰易懂的可学习课程示例外，有限支持的功能还用于许多区分学习的各种类型和特征的证明中。最近的结果表明，这表面上简单的课程需要学习的空间与其他任何可学习的集合一样多，而且与其他任何可学习的集合一样，本质上也很困难。

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《Journal of experimental and theoretical artificial intelligence (Online)》 |1999年第4期|p.543-552|共10页
作者
Rusins Freivalds; Efim Kinber; Carl H.Smith;
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作者单位

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收录信息美国《科学引文索引》(SCI);美国《工程索引》(EI);
原文格式 PDF
正文语种 eng
中图分类自动化技术、计算机技术;
关键词
functions of finite support; learning; inductive;

机译：有限支持的功能;学习;归纳的;

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The functions of finite support: a canonical learning problem

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