Synthetic data for design and evaluation of binary classifiers in the context of Bayesian transfer learning

Transfer learning (TL) techniques can enable effective learning in data scarce domains by allowing one to re-purpose data or scientific knowledge available in relevant source domains for predictive tasks in a target domain of interest. In this Data in Brief article, we present a synthetic dataset fo...

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Detalles Bibliográficos
Autores principales: Maddouri, Omar, Qian, Xiaoning, Alexander, Francis J., Dougherty, Edward R., Yoon, Byung-Jun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Data Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9011006/
https://www.ncbi.nlm.nih.gov/pubmed/35434232
http://dx.doi.org/10.1016/j.dib.2022.108113

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9011006/
https://www.ncbi.nlm.nih.gov/pubmed/35434232
http://dx.doi.org/10.1016/j.dib.2022.108113

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