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Adaptive feature selection using v-shaped binary particle swarm optimization

Feature selection is an important preprocessing method in machine learning and data mining. This process can be used not only to reduce the amount of data to be analyzed but also to build models with stronger interpretability based on fewer features. Traditional feature selection methods evaluate th...

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Detalles Bibliográficos
Autores principales: Teng, Xuyang, Dong, Hongbin, Zhou, Xiurong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5373580/
https://www.ncbi.nlm.nih.gov/pubmed/28358850
http://dx.doi.org/10.1371/journal.pone.0173907