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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.

168,742 papers · 148 categories

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2 results for “BAEN-SVM”

Robust support vector model based on bounded asymmetric elastic net loss for binary classificationstat.ML

BAEN-SVM improves SVM robustness to noisy data.

problem Noise and geometric irrationalities in SVM.

method Bounded asymmetric elastic net loss combined with SVM.

result BAEN-SVM is robust to noise and geometrically well-defined.

BAEN-SVM SVM elastic net binary classification robustness

2026-03-06abs ↗pdf ↗

Sparse

ε

insensitive zone bounded asymmetric elastic net support vector machines for pattern classificationstat.ML

New SVM model balances sparsity and robustness in noisy data.

problem Noise sensitivity and lack of sparsity in traditional SVM models.

method Combines elastic net loss with robust loss framework, integrates with SVM, uses half-quadratic algorithm.

result Proves sparsity and robustness, outperforms traditional SVMs in noisy environments.

Support Vector Machines Elastic Net Robustness Sparsity Noise Sensitivity

2026-04-09abs ↗pdf ↗