Necessary and sufficient conditions for Bayes risk consistency of a recursive kernel classification rule (Corresp.)

DOI10.1109/TIT.1987.1057309zbMath0631.62073WikidataQ118592633 ScholiaQ118592633MaRDI QIDQ3768203

Włodzimierz Greblicki, Mirosław Pawlak

Publication date: 1987

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

zbMATH Keywords

weak and strong Bayes risk consistencynonparametric recursive kernel classification rule

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Nonparametric estimation (62G05) Bayesian problems; characterization of Bayes procedures (62C10) Nonparametric inference (62G99)

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