Domain Adaptation with Data Uncertainty Measure Based on Evidence Theory

Domain adaptation aims to learn a classifier for a target domain task by using related labeled data from the source domain. Because source domain data and target domain task may be mismatched, there is an uncertainty of source domain data with respect to the target domain task. Ignoring the uncertai...

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Detalles Bibliográficos
Autores principales: Lv, Ying, Zhang, Bofeng, Zou, Guobing, Yue, Xiaodong, Xu, Zhikang, Li, Haiyan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9317131/
https://www.ncbi.nlm.nih.gov/pubmed/35885189
http://dx.doi.org/10.3390/e24070966

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9317131/
https://www.ncbi.nlm.nih.gov/pubmed/35885189
http://dx.doi.org/10.3390/e24070966

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