Classification With Repeated Observations

dc.contributor.authorAfser, Huseyin
dc.contributor.authorGyorfi, Laszlo
dc.contributor.authorWalk, Harro
dc.date.accessioned2025-01-06T17:36:59Z
dc.date.available2025-01-06T17:36:59Z
dc.date.issued2023
dc.description.abstractWe study the problem of nonparametric classification with repeated observations. Let X be the d dimensional feature vector and let Y denote the label taking values in {1, . . . , M}. In contrast to usual setup with large sample size n and relatively low dimension d, this letter deals with the situation, when instead of observing a single feature vector X we are given t repeated feature vectors V-1, . . . , V-t. Some simple classification rules are presented such that the conditional error probabilities have exponential rate of convergence as t -> infinity.
dc.description.sponsorshipNational Research, Development and Innovation Fund of Hungary [2020-1.1.2-PIACI-KFI]
dc.description.sponsorshipThe work of Laszlo Gyorfi was supported by the National Research, Development and Innovation Fund of Hungary under Grant 2020-1.1.2-PIACI-KFI. The associate editor coordinating the review of this manuscript and approving it for publication was Dr. Jeremy Thomas Reed
dc.identifier.doi10.1109/LSP.2023.3326057
dc.identifier.endpage1526
dc.identifier.issn1070-9908
dc.identifier.issn1558-2361
dc.identifier.scopus2-s2.0-85174835698
dc.identifier.scopusqualityQ1
dc.identifier.startpage1522
dc.identifier.urihttps://doi.org/10.1109/LSP.2023.3326057
dc.identifier.urihttps://hdl.handle.net/20.500.14669/2069
dc.identifier.volume30
dc.identifier.wosWOS:001097101000008
dc.identifier.wosqualityQ2
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherIEEE-Inst Electrical Electronics Engineers Inc
dc.relation.ispartofIeee Signal Processing Letters
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_20241211
dc.subjectClassification
dc.subjectlinear classification
dc.subjectprototype classification
dc.subjectrepeated observations
dc.subjectrobust detection
dc.titleClassification With Repeated Observations
dc.typeArticle

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