A novel framework based on the multi-label classification for dynamic selection of classifiers

Multi-classifier systems (MCSs) are some kind of predictive models that classify instances by combining the output of an ensemble of classifiers given in a pool. With the aim of enhancing the performance of MCSs, dynamic selection (DS) techniques have been introduced and applied to MCSs. Dealing wit...

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Detalles Bibliográficos
Autores principales: Elmi, Javad, Eftekhari, Mahdi, Mehrpooya, Adel, Ravari, Mohammad Rezaei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2023
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9806828/
https://www.ncbi.nlm.nih.gov/pubmed/36618577
http://dx.doi.org/10.1007/s13042-022-01751-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9806828/
https://www.ncbi.nlm.nih.gov/pubmed/36618577
http://dx.doi.org/10.1007/s13042-022-01751-z

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