@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-00947454v1> a dcat:Dataset ;
    dct:description """
              In the context of unsupervised classification of multidimensional data, we revisit the classical mixture model in the case where the dependencies among the random variables are described by a DAG structure. The structure is considered at two levels, the original DAG and its macro-representation. This two-level representation is the main base of the proposed mixture model. To perform unsupervised classification, we propose a dedicated algorithm called EM-mDAG, which extends the classical EM algorithm. In the Gaussian case, we show that this algorithm can be efficiently implemented. The experiments reveal that this method favors the selection of a small number of classes.
            """ ;
    dct:identifier "hal-00947454" ;
    dct:issued "2026-05-06T09:08:28.424921"^^xsd:dateTime ;
    dct:language "en" ;
    dct:modified "2026-05-06T09:08:28.424925"^^xsd:dateTime ;
    dct:publisher <https://rec.harvest-normandie.data4citizen.com/organization/cce9db95-46d9-4dc2-84b6-764215d0a002> ;
    dct:title "A macro-DAG structure based mixture model" ;
    dcat:contactPoint [ a vcard:Organization ;
            vcard:fn "CCSD" ] ;
    dcat:distribution <https://rec.harvest-normandie.data4citizen.com/dataset/oai-hal-hal-00947454v1/resource/7c799a83-7ac7-4e87-8e79-108cb60077f9> ;
    dcat:keyword "bayesian-network",
        "dag-structure",
        "em-algorithm",
        "infoeu-reposemanticspreprint",
        "mathmath-stmathematics-mathstatistics-mathst",
        "mixture-model",
        "msc-62-09",
        "preprints-working-papers-",
        "statthstatistics-statstatistics-theory-statth" ;
    dcat:landingPage <https://hal.science/hal-00947454> .

<https://rec.harvest-normandie.data4citizen.com/dataset/oai-hal-hal-00947454v1/resource/7c799a83-7ac7-4e87-8e79-108cb60077f9> a dcat:Distribution ;
    dct:format "HTML" ;
    dct:issued "2026-05-06T09:08:28.449800"^^xsd:dateTime ;
    dct:modified "2026-05-06T09:08:28.409790"^^xsd:dateTime ;
    dct:title "A macro-DAG structure based mixture model" ;
    dcat:accessURL <https://hal.science/hal-00947454> .

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

<https://hal.science/hal-00947454> a foaf:Document .