@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-00906188v1> a dcat:Dataset ;
    dct:description """
              We tackle the PAC-Bayesian Domain Adaptation (DA) problem. This arrives when one desires to learn, from a source distribution, a good weighted majority vote (over a set of classifiers) on a different target distribution. In this context, the disagreement between classifiers is known crucial to control. In non-DA supervised setting, a theoretical bound - the C-bound - involves this disagreement and leads to a majority vote learning algorithm: MinCq. In this work, we extend MinCq to DA by taking advantage of an elegant divergence between distribution called the Perturbed Varation (PV). Firstly, justified by a new formulation of the C-bound, we provide to MinCq a target sample labeled thanks to a PV-based self-labeling focused on regions where the source and target marginal distributions are closer. Secondly, we propose an original process for tuning the hyperparameters. Our framework shows very promising results on a toy problem.
            """ ;
    dct:identifier "hal-00906188" ;
    dct:issued "2026-05-08T04:47:14.491324"^^xsd:dateTime ;
    dct:language "en" ;
    dct:modified "2026-05-08T04:47:14.491329"^^xsd:dateTime ;
    dct:publisher <https://rec.harvest-normandie.data4citizen.com/organization/cce9db95-46d9-4dc2-84b6-764215d0a002> ;
    dct:title "Domain Adaptation of Majority Votes via Perturbed Variation-based Label Transfer" ;
    dcat:contactPoint [ a vcard:Organization ;
            vcard:fn "CCSD" ] ;
    dcat:distribution <https://rec.harvest-normandie.data4citizen.com/dataset/oai-hal-hal-00906188v1/resource/6ec89f84-f11b-4163-85b6-c8fcbad7e771> ;
    dcat:keyword "domain-adaptation",
        "infoeu-reposemanticspreprint",
        "machine-learnin",
        "majority-vote",
        "pac-bayesian-theory",
        "preprints-working-papers-",
        "statmlstatistics-statmachine-learning-statml" ;
    dcat:landingPage <https://hal.science/hal-00906188> .

<https://rec.harvest-normandie.data4citizen.com/dataset/oai-hal-hal-00906188v1/resource/6ec89f84-f11b-4163-85b6-c8fcbad7e771> a dcat:Distribution ;
    dct:format "HTML" ;
    dct:issued "2026-05-08T04:47:14.501943"^^xsd:dateTime ;
    dct:modified "2026-05-08T04:47:14.482410"^^xsd:dateTime ;
    dct:title "Domain Adaptation of Majority Votes via Perturbed Variation-based Label Transfer" ;
    dcat:accessURL <https://hal.science/hal-00906188> .

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

<https://hal.science/hal-00906188> a foaf:Document .