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Complexity in the case against accuracy estimation

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Publication:1399985
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DOI10.1016/S0304-3975(02)00573-XzbMath1022.68110OpenAlexW2089292714MaRDI QIDQ1399985

Richard Nock

Publication date: 30 July 2003

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

Full work available at URL: https://doi.org/10.1016/s0304-3975(02)00573-x


zbMATH Keywords

classifiers


Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Pattern recognition, speech recognition (68T10)


Related Items (1)

Self-improved gaps almost everywhere for the agnostic approximation of monomials



Cites Work

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  • A hybrid filter/wrapper approach of feature selection using information theory
  • Additive logistic regression: a statistical view of boosting. (With discussion and a rejoinder by the authors)
  • Robust trainability of single neurons
  • Improved boosting algorithms using confidence-rated predictions
  • Very simple classification rules perform well on most commonly used datasets
  • A theory of the learnable
  • Learning DNF in time
  • Robust classification for imprecise environments


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