Maxi–Min Margin Machine: Learning Large Margin Classifiers Locally and Globally

  title={Maxi–Min Margin Machine: Learning Large Margin Classifiers Locally and Globally},
  author={Kaizhu Huang and Haiqin Yang and Irwin King and Michael R. Lyu},
  journal={IEEE Transactions on Neural Networks},
In this paper, we propose a novel large margin classifier, called the maxi-min margin machine (M4). This model learns the decision boundary both locally and globally. In comparison, other large margin classifiers construct separating hyperplanes only either locally or globally. For example, a state-of-the-art large margin classifier, the support vector machine (SVM), considers data only locally, while another significant model, the minimax probability machine (MPM), focuses on building the… CONTINUE READING
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