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}
}
  • Andrew S. Fast, David D. Jensen
  • Published in
    Eighth IEEE International…
    2008
  • Computer Science
  • 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

    Create an AI-powered research feed to stay up to date with new papers like this posted to ArXiv

    Figures, Tables, and Topics from this paper.

    Explore Further: Topics Discussed in This Paper

    Citations

    Publications citing this paper.
    SHOWING 1-10 OF 25 CITATIONS

    Controversy Detection in Wikipedia Using Collective Classification

    VIEW 3 EXCERPTS
    CITES BACKGROUND & METHODS

    References

    Publications referenced by this paper.
    SHOWING 1-10 OF 17 REFERENCES