The effect of kernel functions on cryptocurrency prediction using support vector machines
Forecasting in the financial sector has proven to be a highly important area of study in the science of Computational Intelligence (CI). Furthermore, the availability of social media platforms contributes to the advancement of SVM research and the selection of SVM parameters. Using SVM kernel functi...
| Main Authors: | , , , |
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| Format: | Book Section |
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Springer Science and Business Media Deutschland GmbH
2022
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| Subjects: |