Analyzing Feature Relevance for Linear Reject Option SVM using Relevance Intervals

@inproceedings{Gpfert2017AnalyzingFR,
  title={Analyzing Feature Relevance for Linear Reject Option SVM using Relevance Intervals},
  author={Christina G{\"o}pfert and Jan Philip G{\"o}pfert and Barbara Hammer},
  booktitle={NIPS 2017},
  year={2017}
}
When machine learning is applied in safety-critical or otherwise sensitive areas, the analysis of feature relevance can be an important tool to keep the size of models small, and thus easier to understand, and to analyze how different features impact the behavior of the model. In the presence of correlated features, feature relevances and the solution to the minimal-optimal feature selection problem are not unique. One approach to solving this problem is identifying feature relevance intervals… CONTINUE READING

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