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Most sequences are stochastic

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Publication:1854454
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DOI10.1006/inco.2001.3041zbMath1007.68080OpenAlexW2006653634MaRDI QIDQ1854454

Vladimir V. V'yugin

Publication date: 14 January 2003

Published in: Information and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1006/inco.2001.3041



Mathematics Subject Classification ID

Computational learning theory (68Q32) Algorithmic information theory (Kolmogorov complexity, etc.) (68Q30)


Related Items (1)

On complexity of easy predictable sequences



Cites Work

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  • Nonstochastic estimates
  • A game of prediction with expert advice
  • Non-stochastic infinite and finite sequences
  • Computational learning theory. 2nd European Conference, EuroCOLT '95, Barcelona, Spain, March 13-15, 1995. Proceedings
  • Suboptimal measures of predictive complexity for absolute loss function
  • Randomness conservation inequalities; information and independence in mathematical theories
  • On the Defect of Randomness of a Finite Object with Respect to Measures with Given Complexity Bounds
  • Complexity Approximation Principle
  • THE COMPLEXITY OF FINITE OBJECTS AND THE DEVELOPMENT OF THE CONCEPTS OF INFORMATION AND RANDOMNESS BY MEANS OF THE THEORY OF ALGORITHMS


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