Cargando…
On sparse ensemble methods: An application to short-term predictions of the evolution of COVID-19
Since the seminal paper by Bates and Granger in 1969, a vast number of ensemble methods that combine different base regressors to generate a unique one have been proposed in the literature. The so-obtained regressor method may have better accuracy than its components, but at the same time it may ove...
Autores principales: | Benítez-Peña, Sandra, Carrizosa, Emilio, Guerrero, Vanesa, Jiménez-Gamero, M. Dolores, Martín-Barragán, Belén, Molero-Río, Cristina, Ramírez-Cobo, Pepa, Romero Morales, Dolores, Sillero-Denamiel, M. Remedios |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Authors. Published by Elsevier B.V.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9759092/ https://www.ncbi.nlm.nih.gov/pubmed/36569384 http://dx.doi.org/10.1016/j.ejor.2021.04.016 |
Ejemplares similares
-
Mathematical optimization in classification and regression trees
por: Carrizosa, Emilio, et al.
Publicado: (2021) -
Improving plant disease classification by adaptive minimal ensembling
por: Bruno, Antonio, et al.
Publicado: (2022) -
Towards intellectual property rights management: back-office and front-office perspectives
por: Modic, Dolores, et al.
Publicado: (2018) -
Deep Ensemble Learning for Retinal Image Classification
por: Ho, Edward, et al.
Publicado: (2022) -
Anomaly detection for blueberry data using sparse autoencoder-support vector machine
por: Wei, Dianwen, et al.
Publicado: (2023)