Göpfert, Christina; Pfannschmidt, Lukas; Göpfert, Jan Philip; Hammer, Barbara: Interpretation of Linear Classifiers by Means of Feature Relevance Bounds. In: Neurocomputing. Jg.298. 2018, S. 69-79
Inhalt
- Feature Relevance and Feature Selection Problems
- All-Relevant Determination Using Relevance Bounds
- Relevance Bound Intuition
- A Formal Relevance Bounds Method
- Generalization Bounds
- Solution via Linear Programs
- Experiments
- Comparison to other methods on data with known ground truth
- Adrenal Dataset
- Breast Cancer Wisconsin (Diagnostic) Dataset
- Conclusion
- Proofs of Theorem 2 and 3