Robust importance sampling for error estimation in the context of optimal Bayesian transfer learning

Classification has been a major task for building intelligent systems because it enables decision-making under uncertainty. Classifier design aims at building models from training data for representing feature-label distributions—either explicitly or implicitly. In many scientific or clinical settin...

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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:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9058919/
https://www.ncbi.nlm.nih.gov/pubmed/35510184
http://dx.doi.org/10.1016/j.patter.2021.100428

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9058919/
https://www.ncbi.nlm.nih.gov/pubmed/35510184
http://dx.doi.org/10.1016/j.patter.2021.100428

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