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Active Learning of Classification Models with Likert-Scale Feedback

Annotation of classification data by humans can be a time-consuming and tedious process. Finding ways of reducing the annotation effort is critical for building the classification models in practice and for applying them to a variety of classification tasks. In this paper, we develop a new active le...

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Detalles Bibliográficos
Publicado en:Proc SIAM Int Conf Data Min
Main Authors: Xue, Yanbing, Hauskrecht, Milos
Formato: Artigo
Idioma:Inglês
Publicado: 2017
Assuntos:
Acceso en liña:https://ncbi.nlm.nih.gov/pmc/articles/PMC5624557/
https://ncbi.nlm.nih.gov/pubmed/28979827
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1137/1.9781611974973.4
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