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dc.contributor.authorHernandez-Gonzalez, Jeronimo-
dc.contributor.authorInza, Inaki-
dc.contributor.authorGranado, Igor-
dc.contributor.authorBasurko, Oihane C.-
dc.contributor.authorFernandes, Jose A.-
dc.contributor.authorLozano, Jose A.-
dc.date.accessioned2020-10-07T14:25:06Z-
dc.date.available2020-10-07T14:25:06Z-
dc.date.issued2019-
dc.identifierISI:000459846300024-
dc.identifier.citationINFORMATION SCIENCES, 2019, 481, 381-393-
dc.identifier.issn0020-0255-
dc.identifier.urihttp://dspace.azti.es/handle/24689/984-
dc.description.abstractIn regression, a predictive model which is able to anticipate the output of a new case is learnt from a set of previous examples. The output or response value of these examples used for model training is known. When learning with aggregated outputs, the examples available for model training are individually unlabeled. Collectively, the aggregated outputs of different subsets of training examples are provided. In this paper, we propose an iterative methodology to learn linear models from this type of data. In spite of being simple, its competitive performance is shown in comparison with a straightforward solution and state-of-the-art techniques. A real world problem is also illustrated which naturally fits the aggregated outputs framework: the estimation of marine litter beaching along the southeast coastline of the Bay of Biscay. (C) 2019 Elsevier Inc. All rights reserved.-
dc.language.isoEnglish-
dc.publisherELSEVIER SCIENCE INC-
dc.subjectMachine learning-
dc.subjectRegression-
dc.subjectLinear models-
dc.subjectAggregated outputs-
dc.subjectExpectation-Maximization-
dc.subjectMarine litter beaching-
dc.subjectPLASTIC DEBRIS-
dc.subjectINGESTION-
dc.subjectACCUMULATION-
dc.subjectRIVERS-
dc.titleAggregated outputs by linear models: An application on marine litter beaching prediction-
dc.typeArticle-
dc.identifier.journalINFORMATION SCIENCES-
dc.format.page381-393-
dc.format.volume481-
dc.contributor.funderBasque GovernmentBasque Government [IT609-13]-
dc.contributor.funderSpanish Ministry of Economy and Competitiveness [TIN2016-78365-R]-
dc.contributor.funderBERC program 2018-2021 (Basque Government)Basque Government-
dc.contributor.funderSevero Ochoa Program (Spanish Ministry of Economy and Competitiveness) [SEV-2017-0718]-
dc.contributor.funderEuropean Union (LIFE LEMA project)European Union (EU) [LIFE15/ENWES/000252]-
dc.contributor.funderTraining of Technologists Program of the Department of Economic Development and Infrastructures of the Basque Government-
dc.contributor.funderGipuzkoa Provincial Council-
dc.identifier.e-issn1872-6291-
dc.identifier.doi10.1016/j.ins.2018.12.083-
Aparece en las tipos de publicación: Artículos científicos



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