Support-Vector Networks ​

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Authors: Corinna Cortes, Vladimir Vapnik
Year: 1995
Journal: Machine Learning
DOI: 10.1007/BF00994018
Publisher: https://link.springer.com/article/10.1007/BF00994018

Keywords: svm, support vector machine

Abstract ​

We describe a new type of learning machine called a support vector machine that achieves high generalization performance on pattern classification tasks.

Cite this paper ​

@misc{svm1995,
  title  = {Support-Vector Networks},
  author = {Corinna Cortes, Vladimir Vapnik},
  year   = {1995},
  journal = {Machine Learning},
  doi    = {10.1007/BF00994018},
  url    = {https://doi.org/10.1007/BF00994018},
}

Source files ​

• [metadata.json](https://raw.githubusercontent.com/badhope/ScholarLib/main/papers/computer-science/Machine-Learning/Foundations/2019-and-earlier/Machine Learning/empirical/classification/svm/metadata.json)
• [paper.bib](https://raw.githubusercontent.com/badhope/ScholarLib/main/papers/computer-science/Machine-Learning/Foundations/2019-and-earlier/Machine Learning/empirical/classification/svm/paper.bib)