Kernel density estimation applied to bagged neural network predictions yields a representative output and confidence score that outperforms mean or median aggregation in nonlinear regression.
Modeling of strength of high-performa nce con- crete using artificial neural networks
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Evaluation of Bagging Predictors with Kernel Density Estimation and Bagging Score
Kernel density estimation applied to bagged neural network predictions yields a representative output and confidence score that outperforms mean or median aggregation in nonlinear regression.