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dc.date.accessioned2021-01-24T02:58:53Z
dc.date.available2021-01-24T02:58:53Z
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/23627
dc.typegrantor
oapen.relation.fundsc46a5305-2507-4d6c-a13e-e382e258d47d
oapen.relation.funds018bad1c-8b66-44e4-8393-2505efb4e0a3
grantor.nameIstituto di Scienza e Tecnologie dell'Informazione
grantor.acronymInstitute of Information Science and Technologies
grantor.acronymISTI
grantor.doi10.13039/501100014596


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  • Esuli, Andrea; Fabris, Alessandro; Moreo, Alejandro; Sebastiani, Fabrizio (2023)
    This open access book provides an introduction and an overview of learning to quantify (a.k.a. “quantification”), i.e. the task of training estimators of class proportions in unlabeled data by means of supervised learning. ...
  • Esuli, Andrea; Fabris, Alessandro; Moreo, Alejandro; Sebastiani, Fabrizio (2023)
    This open access book provides an introduction and an overview of learning to quantify (a.k.a. “quantification”), i.e. the task of training estimators of class proportions in unlabeled data by means of supervised learning. ...