A Tutorial on Support Vector Machines for Pattern Recognition

@article{Burges1998ATO,
  title={A Tutorial on Support Vector Machines for Pattern Recognition},
  author={Christopher J. C. Burges},
  journal={Data Mining and Knowledge Discovery},
  year={1998},
  volume={2},
  pages={121-167}
}
The tutorial starts with an overview of the concepts of VC dimension and structural risk minimization. We then describe linear Support Vector Machines (SVMs) for separable and non-separable data, working through a non-trivial example in detail. We describe a mechanical analogy, and discuss when SVM solutions are unique and when they are global. We describe… CONTINUE READING

14 Figures & Tables

Topics

Statistics

05001000'99'01'03'05'07'09'11'13'15'17
Citations per Year

17,838 Citations

Semantic Scholar estimates that this publication has 17,838 citations based on the available data.

See our FAQ for additional information.