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arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

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1 result for “ROC-SVM”

Scaling Up ROC-Optimizing Support Vector Machinescs.LG

A scalable ROC-SVM variant reduces training time for imbalanced binary classification.

problem High computational cost of ROC-SVM for imbalanced binary classification.

method Incomplete U-statistics and low-rank kernel approximation.

result Comparable AUC performance with reduced training time.

ROC-SVM imbalanced classification scalability U-statistics kernel approximation

2025-11-07abs ↗pdf ↗