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On exponential bounds on the Bayes risk of the kernel classification rule

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Publication:3981579
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DOI10.1109/18.79905zbMath0742.62006OpenAlexW2150781590MaRDI QIDQ3981579

Adam Krzyżak

Publication date: 26 June 1992

Published in: IEEE Transactions on Information Theory (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1109/18.79905


zbMATH Keywords

exponential inequalityexponential boundsweak consistencystrong consistencyrates of strong convergenceBayes probability of errorcomplete Bayes risk consistenciesequivalence of consistenciesimproved exponential boundskernel classification rulenonparametric kernel classification rule


Mathematics Subject Classification ID

Asymptotic properties of nonparametric inference (62G20) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Bayesian problems; characterization of Bayes procedures (62C10)


Related Items (1)

On radial basis function nets and kernel regression: Statistical consistency, convergence rates, and receptive field size







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