hinge loss

in machine learning, a loss function used for maximum‐margin classification
Thing general Q5767098
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hinge loss

Summary

hinge loss ranks in the top 2% of general entities by monthly Wikipedia readership (114 views/month).[1]

Key Facts

  • hinge loss's image is recorded as Hinge loss vs zero one loss.svg[2].
  • hinge loss's subclass of is recorded as loss function[3].
  • hinge loss's Freebase ID is recorded as /m/0h64g00[4].
  • hinge loss's defining formula is recorded as \ell (y)=\max(0,1-t\cdot y)[5].
  • hinge loss's Microsoft Academic ID is recorded as 39891107[6].
  • hinge loss's OpenAlex ID is recorded as C39891107[7].

Why It Matters

hinge loss ranks in the top 2% of general entities by monthly Wikipedia readership (114 views/month).[1] It has Wikipedia articles in 8 language editions, a strong signal of global cultural recognition.[8]

📑 Cite this page

Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). hinge loss. Retrieved April 10, 2026, from https://4ort.xyz/entity/hinge-loss
MLA “hinge loss.” 4ort.xyz Knowledge Graph, 4ort.xyz, 10 Apr. 2026, https://4ort.xyz/entity/hinge-loss.
BibTeX @misc{4ortxyz_hinge-loss_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{hinge loss}}, year = {2026}, url = {https://4ort.xyz/entity/hinge-loss}, note = {Accessed: 2026-04-10}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): hinge loss — https://4ort.xyz/entity/hinge-loss (retrieved 2026-04-10)

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