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Learning with side information: PAC learning bounds

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Publication:596314
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DOI10.1016/j.jcss.2003.07.005zbMath1069.68058OpenAlexW2001148522MaRDI QIDQ596314

P. Kuusela, Daniel L. Ocone

Publication date: 10 August 2004

Published in: Journal of Computer and System Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jcss.2003.07.005

zbMATH Keywords

Uniform convergence of empirical meansDependent dataLearning theoryProbably Approximately Correct learning


Mathematics Subject Classification ID

Computational learning theory (68Q32)


Related Items

Learning with side information: PAC learning bounds, Unnamed Item



Cites Work

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  • Learning with side information: PAC learning bounds
  • Bounds for the uniform deviation of empirical measures
  • Bounding sample size with the Vapnik-Chervonenkis dimension
  • Learning dynamical systems in a stationary environment
  • Learning from hints
  • On the value of partial information for learning from examples
  • Improved sample complexity estimates for statistical learning control of uncertain systems
  • Probability Inequalities for Sums of Bounded Random Variables
  • On the Uniform Convergence of Relative Frequencies of Events to Their Probabilities
  • Convergence of stochastic processes
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