A novel embedded min-max approach for feature selection in nonlinear support vector machine classification (Q2030496)
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scientific article
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | A novel embedded min-max approach for feature selection in nonlinear support vector machine classification |
scientific article |
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A novel embedded min-max approach for feature selection in nonlinear support vector machine classification (English)
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7 June 2021
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machine learning
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min-max optimization
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duality theory
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feature selection
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nonlinear support vector machine classification
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