Ordinal Decision-Tree-Based Ensemble Approaches: The Case of Controlling the Daily Local Growth Rate of the COVID-19 Epidemic

In this research, we develop ordinal decision-tree-based ensemble approaches in which an objective-based information gain measure is used to select the classifying attributes. We demonstrate the applicability of the approaches using AdaBoost and random forest algorithms for the task of classifying t...

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Detalles Bibliográficos
Autores principales: Singer, Gonen, Marudi, Matan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7517475/
https://www.ncbi.nlm.nih.gov/pubmed/33286642
http://dx.doi.org/10.3390/e22080871

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7517475/
https://www.ncbi.nlm.nih.gov/pubmed/33286642
http://dx.doi.org/10.3390/e22080871

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