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Probably approximately correct learning of Horn envelopes from queries

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Publication:2286380
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DOI10.1016/j.dam.2019.02.036zbMath1430.68261arXiv1807.06149OpenAlexW2963405957WikidataQ128206461 ScholiaQ128206461MaRDI QIDQ2286380

Tom Hanika, Daniel Borchmann, Sergei Obiedkov

Publication date: 22 January 2020

Published in: Discrete Applied Mathematics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1807.06149


zbMATH Keywords

formal concept analysisPAC learningFCAattribute exploration


Mathematics Subject Classification ID

Analysis of algorithms (68W40) Learning and adaptive systems in artificial intelligence (68T05) Knowledge representation (68T30)


Related Items

From equivalence queries to PAC learning: the case of implication theories ⋮ Algebraic machine learning: emphasis on efficiency ⋮ Approximate computation of exact association rules


Uses Software

  • UCI-ml


Cites Work

  • Construction and learnability of canonical Horn formulas
  • Learning definite Horn formulas from closure queries
  • On generating all maximal independent sets
  • Learning conjunctions of Horn clauses
  • Horn approximations of empirical data
  • Queries and concept learning
  • Conceptual Exploration
  • Probability Inequalities for Sums of Bounded Random Variables
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