Large margin DragPushing strategy for centroid text categorization

@article{Tan2007LargeMD,
  title={Large margin DragPushing strategy for centroid text categorization},
  author={Songbo Tan},
  journal={Expert Syst. Appl.},
  year={2007},
  volume={33},
  pages={215-220}
}
Among all conventional methods for text categorization, centroid classifier is a simple and efficient method. However it often suffers from inductive bias (or model misfit) incurred by its assumption. DragPushing is a very simple and yet efficient method to address this socalled inductive bias problem. However, DragPushing employs only one criterion, i.e., training-set error, as its objective function that cannot guarantee the generalization capability. In this paper, we propose a generalized… CONTINUE READING
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