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- Palamidessi & Romanelli (2020). Feature selection with Rényi min-entropy. Min-entropy feature selection; notes that I∞ is not symmetric.Open
- Alvim, Chatzikokolakis, Palamidessi & Smith (2012). Measuring information leakage using generalized gain functions. IEEE CSF, 265–279. Theorem 4.2 contains Proposition 1.
- Liu & Hu (2009). Mutual information based on Renyi’s entropy feature selection. IEEE ICIS. Page numbers not yet found.Open
- Peng, Long & Ding (2005). Feature selection based on mutual information: max-dependency, max-relevance and min-redundancy. IEEE TPAMI 27(8). mRMR; source of the naive Bayes evaluation.
- Fleuret (2004). Fast binary feature selection with conditional mutual information. JMLR 5. CMIM.
- Demšar (2006). Statistical comparisons of classifiers over multiple data sets. JMLR 7. Friedman and Nemenyi tests.
- Nadeau & Bengio (2003). Inference for the generalization error. Machine Learning 52. Corrected resampled t-test.
- Brown, Pocock, Zhao & Luján (2012). Conditional likelihood maximisation: a unifying framework for information theoretic feature selection. JMLR 13. Unifying framework.