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Interpretation of Linear Classifiers by Means of Feature Relevance Bounds
Feature Relevance and Feature Selection Problems
Feature Relevance Theory
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
Aufsatz in einer Zeitschrift
Interpretation of Linear Classifiers by Means of Feature Relevance Bounds
Entstehung
2018
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