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A new abstract combinatorial dimension for exact learning via queries

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Publication:1604216
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DOI10.1006/jcss.2001.1794zbMath1006.68109OpenAlexW2012548282MaRDI QIDQ1604216

David Guijarro, José L. Balcázar, Jorge E. Castro

Publication date: 4 July 2002

Published in: Journal of Computer and System Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1006/jcss.2001.1794


zbMATH Keywords

polynomial-query learning algorithms


Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)


Related Items

A general dimension for query learning ⋮ Queries revisited. ⋮ The complexity of learning concept classes with polynomial general dimension



Cites Work

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  • Learning nearly monotone \(k\)-term DNF
  • Exact learning via teaching assistants
  • Exact learning when irrelevant variables abound
  • On the complexity of teaching
  • On the learnability of disjunctive normal form formulas
  • Oracles and queries that are sufficient for exact learning
  • Queries and concept learning
  • Learnability and the Vapnik-Chervonenkis dimension
  • The complexity of exactly learning algebraic concepts
  • A framework for polynomial-time query learnability
  • How many queries are needed to learn?
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