Margin Maximizing Loss Functions

@inproceedings{Rosset2003MarginML,
  title={Margin Maximizing Loss Functions},
  author={Saharon Rosset and Ji Zhu and Trevor J. Hastie},
  booktitle={NIPS},
  year={2003}
}
Margin maximizing properties play an important role in the a nalysis of classification models, such as boosting and support vector machines . Margin maximization is theoretically interesting because it facilitates g neralization error analysis, and practically interesting because it presents a clear geo metric interpretation of the models being built. We formulate and prove a sufficient co ndition for the solutions of regularized loss functions to converge to marg in maximizing separators, as… CONTINUE READING
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