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- W290587 abstract "Mutual information is a measure of association of explanatory variable for predicting target variable. It is used for variable ranking and variable subset selection. This study is about the Sample-spacing approach which can be used for the estimation of mutual information from data consisting of continuous explanation variables and categorical target variable without estimating a joint probability density function. The results of Monte-Carlo simulation and experiments with real-world data show that m" @default.
- W290587 created "2016-06-24" @default.
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- W290587 date "2008-04-30" @default.
- W290587 modified "2023-09-23" @default.
- W290587 title "Sample-spacing Approach for the Estimation of Mutual Information" @default.
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- W290587 doi "https://doi.org/10.5351/kjas.2008.21.2.301" @default.
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