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Learning nested differences in the presence of malicious noise

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Publication:1390947
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DOI10.1016/S0304-3975(97)00019-4zbMath0901.68160OpenAlexW2124283284MaRDI QIDQ1390947

Peter Auer

Publication date: 22 July 1998

Published in: Theoretical Computer Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0304-3975(97)00019-4


zbMATH Keywords

PAC-learning algorithm


Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)


Related Items (1)

A new PAC bound for intersection-closed concept classes



Cites Work

  • Unnamed Item
  • Unnamed Item
  • A result of Vapnik with applications
  • Predicting \(\{ 0,1\}\)-functions on randomly drawn points
  • Queries and concept learning
  • Learning in the Presence of Malicious Errors
  • Probably Approximate Learning of Sets and Functions
  • A theory of the learnable
  • Learning Integer Lattices
  • Efficient noise-tolerant learning from statistical queries
  • On the Uniform Convergence of Relative Frequencies of Events to Their Probabilities




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