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A multi-verse optimizer approach for feature selection and optimizing SVM parameters based on a robust system architecture |
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| Authors: | Faris Hossam Hassonah Mohammad A Al-Zoubi Ala’ M Mirjalili Seyedali Aljarah Ibrahim |
| Affiliation: | 1.Business Information Technology Department, King Abdullah II School for Information Technology, The University of Jordan, Amman, Jordan ;2.School of Information and Communication Technology, Griffith University, Nathan, Brisbane, QLD, 4111, Australia ; |
| Abstract: | Neural Computing and Applications - Support vector machine (SVM) is a well-regarded machine learning algorithm widely applied to classification tasks and regression problems. SVM was founded based... |
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| 本文献已被 SpringerLink 等数据库收录！ | |