Ensemble Estimation of Generalized Mutual Information With Applications to Genomics
IEEE Transactions on Information Theory(2021)
摘要
Mutual information is a measure of the dependence between random variables that has been used successfully in myriad applications in many fields. Generalized mutual information measures that go beyond classical Shannon mutual information have also received much interest in these applications. We derive the mean squared error convergence rates of kernel density-based plug-in estimators of general m...
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关键词
Convergence,Estimation,Random variables,Feature extraction,Entropy,Density measurement,Kernel
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