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Queries and concept learning

  • Published: April 1988
  • Volume 2, pages 319–342, (1988)
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Queries and concept learning
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  • Dana Angluin1 
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Abstract

We consider the problem of using queries to learn an unknown concept. Several types of queries are described and studied: membership, equivalence, subset, superset, disjointness, and exhaustiveness queries. Examples are given of efficient learning methods using various subsets of these queries for formal domains, including the regular languages, restricted classes of context-free languages, the pattern languages, and restricted types of propositional formulas. Some general lower bound techniques are given. Equivalence queries are compared with Valiant's criterion of probably approximately correct identification under random sampling.

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Authors and Affiliations

  1. Department of Computer Science, Yale University, P.O. Box 2158, 06520, New Haven, CT, U.S.A.

    Dana Angluin

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  1. Dana Angluin
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Angluin, D. Queries and concept learning. Mach Learn 2, 319–342 (1988). https://doi.org/10.1007/BF00116828

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  • Received: 20 July 1987

  • Revised: 26 January 1988

  • Issue Date: April 1988

  • DOI: https://doi.org/10.1007/BF00116828

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Keywords

  • Concept learning
  • supervised learning
  • queries
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