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On the necessity of Occam algorithms

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Publication:1193631
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DOI10.1016/0304-3975(92)90367-OzbMath0825.68544OpenAlexW2075121617MaRDI QIDQ1193631

Raymond Board, Leonard Pitt

Publication date: 27 September 1992

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

Full work available at URL: https://doi.org/10.1016/0304-3975(92)90367-o



Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)


Related Items

The DNF exception problem ⋮ On the hardness of approximating the minimum consistent OBDD problem ⋮ Partial Occam's Razor and its applications ⋮ Learning recursive functions: A survey ⋮ Implementation of Boolean functions with a bounded number of zeros by disjunctive normal forms ⋮ Explanatory and creative alternatives to the MDL principle ⋮ PAC Learning under Helpful Distributions ⋮ Monotone term decision lists ⋮ Prediction-preserving reducibility



Cites Work

  • Unnamed Item
  • Prediction-preserving reducibility
  • Occam's razor
  • A general lower bound on the number of examples needed for learning
  • Learnability and the Vapnik-Chervonenkis dimension
  • A theory of the learnable
  • Computational limitations on learning from examples
  • The minimum consistent DFA problem cannot be approximated within any polynomial
  • Computational Complexity of Probabilistic Turing Machines
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