@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-00879148v2> a dcat:Dataset ;
    dct:description """
              We consider the problem of learning a vector-valued function f in an online learning setting. The function f is assumed to lie in a reproducing Hilbert space of operator-valued kernels. We describe two online algorithms for learning f while taking into account the output structure. A first contribution is an algorithm, ONORMA, that extends the standard kernel-based online learning algorithm NORMA from scalar-valued to operator-valued setting. We report a cumulative error bound that holds both for classification and regression. We then define a second algorithm, MONORMA, which addresses the limitation of pre-defining the output structure in ONORMA by learning sequentially a linear combination of operator-valued kernels. Our experiments show that the proposed algorithms achieve good performance results with low computational cost.
            """ ;
    dct:identifier "hal-00879148" ;
    dct:issued "2026-05-09T03:26:19.541161"^^xsd:dateTime ;
    dct:language "en" ;
    dct:modified "2026-05-09T03:26:19.541166"^^xsd:dateTime ;
    dct:publisher <https://rec.harvest-normandie.data4citizen.com/organization/cce9db95-46d9-4dc2-84b6-764215d0a002> ;
    dct:title "Online Learning with Multiple Operator-valued Kernels" ;
    dcat:contactPoint [ a vcard:Organization ;
            vcard:fn "CCSD" ] ;
    dcat:distribution <https://rec.harvest-normandie.data4citizen.com/dataset/oai-hal-hal-00879148v2/resource/61390742-cb61-4b29-be06-83d0f1b3f340> ;
    dcat:keyword "infoeu-reposemanticspreprint",
        "infoinfo-lgcomputer-science-csmachine-learning-cslg",
        "norma",
        "online-learning",
        "operator-valued-kernel",
        "preprints-working-papers-",
        "rkhs" ;
    dcat:landingPage <https://inria.hal.science/hal-00879148> .

<https://rec.harvest-normandie.data4citizen.com/dataset/oai-hal-hal-00879148v2/resource/61390742-cb61-4b29-be06-83d0f1b3f340> a dcat:Distribution ;
    dct:format "HTML" ;
    dct:issued "2026-05-09T03:26:19.550160"^^xsd:dateTime ;
    dct:modified "2026-05-09T03:26:19.532949"^^xsd:dateTime ;
    dct:title "Online Learning with Multiple Operator-valued Kernels" ;
    dcat:accessURL <https://inria.hal.science/hal-00879148> .

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

<https://inria.hal.science/hal-00879148> a foaf:Document .