Support-Vector Networks

@article{Cortes2004SupportVectorN,
  title={Support-Vector Networks},
  author={Corinna Cortes and Vladimir Vapnik},
  journal={Machine Learning},
  year={2004},
  volume={20},
  pages={273-297}
}
The support-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… CONTINUE READING
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