A multi-verse optimizer approach for feature selection and optimizing SVM parameters based on a robust system architecture
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Title
A multi-verse optimizer approach for feature selection and optimizing SVM parameters based on a robust system architecture
Authors
Keywords
Optimization, SVM, Support vector machines, Multi-verse optimizer, MVO, Feature selection, Metaheuristics
Journal
NEURAL COMPUTING & APPLICATIONS
Volume -, Issue -, Pages -
Publisher
Springer Nature
Online
2017-01-03
DOI
10.1007/s00521-016-2818-2
References
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