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Hybrid Binary Dragonfly Algorithm with Simulated Annealing for Feature Selection

There are various fields are affected by the growth of data dimensionality. The major problems which are resulted from high dimensionality of data including high memory requirements, high computational cost, and low machine learning classifier performance. Therefore, proper selection of relevant fea...

Deskribapen osoa

Gorde:
Xehetasun bibliografikoak
Argitaratua izan da:SN Comput Sci
Egile Nagusiak: Chantar, Hamouda, Tubishat, Mohammad, Essgaer, Mansour, Mirjalili, Seyedali
Formatua: Artigo
Hizkuntza:Inglês
Argitaratua: Springer Singapore 2021
Gaiak:
Sarrera elektronikoa:https://ncbi.nlm.nih.gov/pmc/articles/PMC8147911/
https://ncbi.nlm.nih.gov/pubmed/34056623
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s42979-021-00687-5
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