Searching for Interacting Features

@inproceedings{Zhao2007SearchingFI,
  title={Searching for Interacting Features},
  author={Zheng Zhao and Huan Liu},
  booktitle={IJCAI},
  year={2007}
}
Feature interaction presents a challenge to feature selection for classification. A feature by itself may have little correlation with the target concept, but when it is combined with some other features, they can be strongly correlated with the target concept. Unintentional removal of these features can result in poor classification performance. Handling feature interaction can be computationally intractable. Recognizing the presence of feature interaction, we propose to efficiently handle… CONTINUE READING
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PhD thesis

  • Aleks Jakulin. Machine Learning Based on Attribute Interactions
  • University of Ljubljana,
  • 2005
1 Excerpt

Learn

  • Franois Fleuret. Fast binary feature selection with condit Mach
  • Res., 5:1531– 1555,
  • 2004
1 Excerpt

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