Accelerated training of bootstrap aggregation-based deep information extraction systems from cancer pathology reports

OBJECTIVE: In machine learning, it is evident that the classification of the task performance increases if bootstrap aggregation (bagging) is applied. However, the bagging of deep neural networks takes tremendous amounts of computational resources and training time. The research question that we aim...

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Detalhes bibliográficos
Publicado no:J Biomed Inform
Main Authors: Yoon, Hong-Jun, Klasky, Hilda B., Gounley, John P., Alawad, Mohammed, Gao, Shang, Durbin, Eric B., Wu, Xiao-Cheng, Stroup, Antoinette, Doherty, Jennifer, Coyle, Linda, Penberthy, Lynne, Christian, J. Blair, Tourassi, Georgia D.
Formato: Artigo
Idioma:Inglês
Publicado em: 2020
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Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC8276580/
https://ncbi.nlm.nih.gov/pubmed/32919043
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.jbi.2020.103564
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