Support-vector networks

@article{Cortes1995SupportvectorN,
  title={Support-vector networks},
  author={C. Cortes and V. Vapnik},
  journal={Machine Learning},
  year={1995},
  volume={20},
  pages={273-297}
}
Thesupport-vector network is a new learning machine for two-group classification problems. The machine conceptually implements the following idea: input vectors are non-linearly mapped to a very high-dimension feature space. In this feature space a linear decision surface is constructed. Special properties of the decision surface ensures high generalization ability of the learning machine. The idea behind the support-vector network was previously implemented for the restricted case where the… Expand