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Active semi-supervised learning for biological data classification

Due to datasets have continuously grown, efforts have been performed in the attempt to solve the problem related to the large amount of unlabeled data in disproportion to the scarcity of labeled data. Another important issue is related to the trade-off between the difficulty in obtaining annotations...

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Détails bibliographiques
Publié dans:PLoS One
Auteurs principaux: Camargo, Guilherme, Bugatti, Pedro H., Saito, Priscila T. M.
Format: Artigo
Langue:Inglês
Publié: Public Library of Science 2020
Sujets:
Accès en ligne:https://ncbi.nlm.nih.gov/pmc/articles/PMC7437865/
https://ncbi.nlm.nih.gov/pubmed/32813738
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0237428
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