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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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| Publicado no: | Knowl Inf Syst |
|---|---|
| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2017
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| Assuntos: | |
| Acesso em linha: | 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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