Combining active learning suggestions

We study the problem of combining active learning suggestions to identify informative training examples by empirically comparing methods on benchmark datasets. Many active learning heuristics for classification problems have been proposed to help us pick which instance to annotate next. But what is...

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Detalles Bibliográficos
Autores principales: Tran, Alasdair, Ong, Cheng Soon, Wolf, Christian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2018
Materias:
Data Mining and Machine Learning
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7924427/
https://www.ncbi.nlm.nih.gov/pubmed/33816810
http://dx.doi.org/10.7717/peerj-cs.157

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7924427/
https://www.ncbi.nlm.nih.gov/pubmed/33816810
http://dx.doi.org/10.7717/peerj-cs.157

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