Per-class regularization hyperparameters in Gabriel graph classifiers create flexible thresholds that eliminate outliers and address class imbalance, improving performance per Friedman test.
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Large margin classifier with graph-based adaptive regularization
Per-class regularization hyperparameters in Gabriel graph classifiers create flexible thresholds that eliminate outliers and address class imbalance, improving performance per Friedman test.