@prefix dcat: <http://www.w3.org/ns/dcat#> .
@prefix dct: <http://purl.org/dc/terms/> .
@prefix foaf: <http://xmlns.com/foaf/0.1/> .
@prefix vcard: <http://www.w3.org/2006/vcard/ns#> .
@prefix xsd: <http://www.w3.org/2001/XMLSchema#> .

<https://rec.harvest-normandie.data4citizen.com/dataset/oai-hal-hal-00778520v2> a dcat:Dataset ;
    dct:description """
              The cellular tree classifier model addresses a fundamental problem in the design of classifiers for a parallel or distributed computing world: Given a data set, is it sufficient to apply a majority rule for classification, or shall one split the data into two or more parts and send each part to a potentially different computer (or cell) for further processing? At first sight, it seems impossible to define with this paradigm a consistent classifier as no cell knows the ''original data size'', $n$. However, we show that this is not so by exhibiting two different consistent classifiers. The consistency is universal but is only shown for distributions with nonatomic marginals.
            """ ;
    dct:identifier "hal-00778520" ;
    dct:issued "2026-05-10T14:07:01.944809"^^xsd:dateTime ;
    dct:language "en" ;
    dct:modified "2026-05-10T14:07:01.944814"^^xsd:dateTime ;
    dct:publisher <https://rec.harvest-normandie.data4citizen.com/organization/cce9db95-46d9-4dc2-84b6-764215d0a002> ;
    dct:title "Cellular Tree Classifiers" ;
    dcat:contactPoint [ a vcard:Organization ;
            vcard:fn "CCSD" ] ;
    dcat:distribution <https://rec.harvest-normandie.data4citizen.com/dataset/oai-hal-hal-00778520v2/resource/04d1581d-05bc-407e-a5e1-8156bdd0ac04> ;
    dcat:keyword "62g05-62g20",
        "asymptotic-analysis",
        "bayes-risk-consistency",
        "cellular-computation",
        "classification",
        "infoeu-reposemanticspreprint",
        "mathmath-stmathematics-mathstatistics-mathst",
        "nonparametric-estimation",
        "pattern-recognition",
        "preprints-working-papers-",
        "statthstatistics-statstatistics-theory-statth",
        "tree-classifiers" ;
    dcat:landingPage <https://hal.science/hal-00778520> .

<https://rec.harvest-normandie.data4citizen.com/dataset/oai-hal-hal-00778520v2/resource/04d1581d-05bc-407e-a5e1-8156bdd0ac04> a dcat:Distribution ;
    dct:format "HTML" ;
    dct:issued "2026-05-10T14:07:01.946846"^^xsd:dateTime ;
    dct:modified "2026-05-10T14:07:01.926942"^^xsd:dateTime ;
    dct:title "Cellular Tree Classifiers" ;
    dcat:accessURL <https://hal.science/hal-00778520> .

<https://rec.harvest-normandie.data4citizen.com/organization/cce9db95-46d9-4dc2-84b6-764215d0a002> a foaf:Agent ;
    foaf:name "test_moissonnage_selune" .

<https://hal.science/hal-00778520> a foaf:Document .