Research breakthrough · curated entry
Support vector machines bring statistical learning to the mainstream
Support-Vector Networks
- Date
- September 1995
- Category
- Research breakthrough
- Organization / Model
- AT&T Bell Labs
- Evidence
- 1 source · 1 evidence family
Cortes and Vapnik extended linear classifiers to nonlinear problems with the maximum margin and the kernel trick, inside a tractable framework from statistical learning theory. SVMs were the default for small-sample classification for more than a decade, until deep learning displaced them.
Curator's note: Cross-checked against the Machine Learning journal paper DOI.
Curated sources · 1
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This page is a curated static snapshot and can be cited directly. Preferred format GB/T 7714—2025 (electronic resource [EB/OL]); the other 5 styles open below, together with the machine-readable files.
GB/T 7714—2025 (electronic resource [EB/OL])
AI 纪年. 支持向量机提出，统计学习理论进入主流[EB/OL]. (1995-09)[2026-11-03]. https://aihist.net/e/svm-1995.html.
APA 7 · American Psychological Association
AI 纪年. (1995, September). 支持向量机提出，统计学习理论进入主流 [Web page]. https://aihist.net/e/svm-1995.html
MLA 9 · Modern Language Association
"支持向量机提出，统计学习理论进入主流." AI 纪年, Sept. 1995, aihist.net/e/svm-1995.html. Accessed 3 Nov. 2026.
Chicago 17 · notes-bibliography
AI 纪年. "支持向量机提出，统计学习理论进入主流." Published Sept. 1995. Accessed Nov. 3, 2026. https://aihist.net/e/svm-1995.html.
IEEE · citation-reference list
"支持向量机提出，统计学习理论进入主流," AI 纪年, Sept. 1995. [Online]. Available: https://aihist.net/e/svm-1995.html. [Accessed: 3 Nov. 2026].
ACM · author-date variant
AI 纪年. September 1995. 支持向量机提出，统计学习理论进入主流. Retrieved November 3, 2026 from https://aihist.net/e/svm-1995.html.
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