A loss bound model for on-line stochastic prediction algorithms

DOI10.1006/inco.1995.1076zbMath0832.68053OpenAlexW2079656362MaRDI QIDQ1893728

Kenji Yamanishi

Publication date: 1 August 1995

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

Full work available at URL: https://doi.org/10.1006/inco.1995.1076

zbMATH Keywords

computational learning theoryBayes algorithm

Mathematics Subject Classification ID

Parallel algorithms in computer science (68W10)

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On-line maximum likelihood prediction with respect to general loss functions ⋮ Mutual information, metric entropy and cumulative relative entropy risk

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