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An incremental learning approach to pbkp_rediction models of SEIRD variables in the context of the COVID-19 pandemic
ArticleAbstract: Several works have proposed pbkp_redictive models of the SEIRD (Susceptible, Exposed, Infected, RecoPalabras claves:covid-19, Machine learning, pbkp_rediction modelAutores:Ardila D., Camargo E., Francklin Rivas, José Lisandro Aguilar Castro, Quintero Y.Fuentes:scopusApplicability of LAMDA as classification model in the oil production
ArticleAbstract: This work analyzes the utilization of classification models in the context of the oil industry and pPalabras claves:Classification Models, Data Mining, LAMDA, LAMDA-HAD, Oil businessAutores:Camargo E., José Lisandro Aguilar Castro, Lozada H., Luis Morales MoralesFuentes:scopusMachine learning models for the pbkp_rediction of the SEIRD variables for the COVID-19 pandemic based on a deep dependence analysis of variables
ArticleAbstract: The SEIRD (Susceptible, Exposed, Infected, Recovered, and Dead) model is a mathematical model basedPalabras claves:covid-19, Data dependence analysis, Machine learning, pbkp_rediction modelAutores:Ardila D., Camargo E., Francklin Rivas, José Lisandro Aguilar Castro, Quintero Y.Fuentes:scopus