Discriminative Feature Selection via Employing Smooth and Robust Hinge Loss

Research article (IEEE Transactions on Neural Networks and Learning Systems, 2018) · cited 11× · AI/ML

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Discriminative Feature Selection via Employing Smooth and Robust Hinge Loss

Summary

Discriminative Feature Selection via Employing Smooth and Robust Hinge Loss is a scholarly article^[1].

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Discriminative Feature Selection via Employing Smooth and Robust Hinge Loss's instance of is recorded as scholarly article^[2].

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Authored by 2

Cheng‐Lin Liu, Hanyang Peng

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Cheng‐Lin Liu, Hanyang Peng

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[2] ↑ Discriminative Feature Selection via Employing Smooth and Robust Hinge Loss — instance of (P31): scholarly article. wikidata.org.

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[1] ↑ Discriminative Feature Selection via Employing Smooth and Robust Hinge Loss is an instance of scholarly article (scholarly article) [P31, primary]. Wikidata. wikidata.org.

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4ort.xyz Knowledge Graph. (2026). Discriminative Feature Selection via Employing Smooth and Robust Hinge Loss. Retrieved May 24, 2026, from https://4ort.xyz/entity/discriminative-feature-selection-via-employing-smooth-and-robust-hinge-loss

MLA

“Discriminative Feature Selection via Employing Smooth and Robust Hinge Loss.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/discriminative-feature-selection-via-employing-smooth-and-robust-hinge-loss.

BibTeX

@misc{4ortxyz_discriminative-feature-selection-via-employing-smooth-and-robust-hinge-loss_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Discriminative Feature Selection via Employing Smooth and Robust Hinge Loss}}, year = {2026}, url = {https://4ort.xyz/entity/discriminative-feature-selection-via-employing-smooth-and-robust-hinge-loss}, note = {Accessed: 2026-05-24}}

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According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Discriminative Feature Selection via Employing Smooth and Robust Hinge Loss — https://4ort.xyz/entity/discriminative-feature-selection-via-employing-smooth-and-robust-hinge-loss (retrieved 2026-05-24)

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