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Linear complexity hyperparameter tuning of the quadratic kernel for support vector classification
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DOI：10.1016/j.patcog.2026.113533.png)
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Abstract
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• Support vector machine with quadratic polynomial kernel for classification. • We propose an efficient coefficient tuning of quadratic kernel. • Similar accuracy and higher speed than Gaussian kernel. • Much faster and better performance than existing tuning alternatives.
Keywords:
Support vector machine
Classification
Quadratic kernel
Hyperparameter tuning
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