Cargando…
Decision-making algorithms for learning and adaptation with application to COVID-19 data
This work focuses on the development of a new family of decision-making algorithms for adaptation and learning, which are specifically tailored to decision problems and are constructed by building up on first principles from decision theory. A key observation is that estimation and decision problems...
| Autores principales: | , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Published by Elsevier B.V.
2022
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8648622/ https://www.ncbi.nlm.nih.gov/pubmed/34898764 http://dx.doi.org/10.1016/j.sigpro.2021.108426 |