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Crowd labeling latent Dirichlet allocation

Large, unlabeled datasets are abundant nowadays, but getting labels for those datasets can be expensive and time-consuming. Crowd labeling is a crowdsourcing approach for gathering such labels from workers whose suggestions are not always accurate. While a variety of algorithms exist for this purpos...

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Détails bibliographiques
Publié dans:Knowl Inf Syst
Auteurs principaux: Pion-Tonachini, Luca, Makeig, Scott, Kreutz-Delgado, Ken
Format: Artigo
Langue:Inglês
Publié: 2017
Sujets:
Accès en ligne:https://ncbi.nlm.nih.gov/pmc/articles/PMC6223327/
https://ncbi.nlm.nih.gov/pubmed/30416242
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s10115-017-1053-1
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