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Hierarchical Active Learning with Proportion Feedback on Regions

Learning of classification models in practice often relies on human annotation effort in which humans assign class labels to data instances. As this process can be very time-consuming and costly, finding effective ways to reduce the annotation cost becomes critical for building such models. To solve...

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Detalhes bibliográficos
Publicado no:Mach Learn Knowl Discov Databases
Main Authors: Luo, Zhipeng, Hauskrecht, Milos
Formato: Artigo
Idioma:Inglês
Publicado em: 2019
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC6363363/
https://ncbi.nlm.nih.gov/pubmed/30740605
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/978-3-030-10928-8_28
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