An Adaptive Heterogeneous Online Learning Ensemble Classifier for Nonstationary Environments

In recent years, the prevalence of technological advances has led to an enormous and ever-increasing amount of data that are now commonly available in a streaming fashion. In such nonstationary environments, the underlying process generating the data stream is characterized by an intrinsic nonstatio...

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Detalles Bibliográficos
Autores principales: Museba, Tinofirei, Nelwamondo, Fulufhelo, Ouahada, Khmaies
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7987417/
https://www.ncbi.nlm.nih.gov/pubmed/33815495
http://dx.doi.org/10.1155/2021/6669706

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7987417/
https://www.ncbi.nlm.nih.gov/pubmed/33815495
http://dx.doi.org/10.1155/2021/6669706

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