Concept information
Preferred term
machine à vecteurs de support
Definition(s)
- Les machines à vecteurs de support sont un ensemble de techniques d'apprentissage supervisé destinées à résoudre des problèmes de classification et de régression. (Wikipédia, consulté le 07/07/2021).
Broader concept(s)
Narrower concept(s)
Synonym(s)
- séparateurs à vaste marge
- SVM
Bibliographic citation(s)
- • Boser, B. E., Guyon, I. M., & Vapnik, V. N. (1992). A training algorithm for optimal margin classifiers. Proceedings of the fifth annual workshop on Computational learning theory, 144‑152. https://doi.org/10.1145/130385.130401
- • Cortes, C., & Vapnik, V. (1995). Support-vector networks. Machine Learning, 20(3), 273‑297. https://doi.org/10.1007/BF00994018
- • Montesinos López, O. A., Montesinos López, A., & Crossa, J. (2022). Support vector machines and support vector regression. In O. A. Montesinos López, A. Montesinos López, & J. Crossa (Eds.), Multivariate Statistical Machine Learning Methods for Genomic Prediction (pp. 337–378). Springer International Publishing. https://doi.org/10.1007/978-3-030-89010-0_9
is implemented by
In other languages
-
English
-
support-vector networks
-
SVM
URI
http://data.loterre.fr/ark:/67375/LTK-T1JFKRHW-C
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