Why Stacked Models Perform Effective Collective Classification

@article{Fast2008WhySM,
  title={Why Stacked Models Perform Effective Collective Classification},
  author={Andrew S. Fast and David D. Jensen},
  journal={2008 Eighth IEEE International Conference on Data Mining},
  year={2008},
  pages={785-790}
}
Collective classification techniques jointly infer all class labels of a relational data set, using the inferences about one class label to influence inferences about related class labels. Kou and Cohen recently introduced an efficient relational model based on stacking that, despite its simplicity, has equivalent accuracy to more sophisticated joint inference approaches. Using experiments on both real and synthetic data, we show that the primary cause for the performance of the stacked model… CONTINUE READING

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