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... > entity > continuant > generically dependent continuant > information content entity > directive information entity > plan specification > algorithm > classification algorithm > support vector machine

Preferred term

support vector machine  

Definition

  • Support-vector machines are supervised learning models with associated learning algorithms that analyze data for classification and regression analysis. (Wikipédia, consulté le 07/07/2021).

Broader concept

Entry terms

  • support-vector networks
  • 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. doi:10.1145/130385.130401
  • • Cortes, C., & Vapnik, V. (1995). Support-vector networks. Machine Learning, 20(3), 273‑297. doi: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. doi:10.1007/978-3-030-89010-0_9

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URI

http://data.loterre.fr/ark:/67375/LTK-T1JFKRHW-C

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