A Hyper Learning Binary Dragonfly Algorithm for Feature Selection: A COVID-19 Case Study

The rapid expansion of information science has caused the issue of “the curse of dimensionality”, which will negatively affect the performance of the machine learning model. Feature selection is typically considered as a pre-processing mechanism to find an optimal subset of features from a given set...

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Vydáno v:	Knowledge-based systems Ročník 212; s. 106553
Hlavní autoři:	Too, Jingwei, Mirjalili, Seyedali
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Amsterdam Elsevier B.V 05.01.2021 Elsevier Science Ltd
Témata:	Algorithm Algorithms Artificial Intelligence Binary Dragonfly Algorithm Binary Optimization Case studies Classification Combinatorial Optimization Coronaviruses COVID-19 Data mining Datasets Feature selection Information retrieval Information science Learning Learning strategies Machine learning Novels Optimization Particle Swarm Optimization Viral diseases Combinatorial Optimization Feature selection Binary Dragonfly Algorithm Artificial Intelligence Classification Data mining Algorithm Optimization Particle Swarm Optimization Binary Optimization
ISSN:	0950-7051, 1872-7409
On-line přístup:	Získat plný text
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