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.
High- dimensional pattern regression using machine learning: fr om medical images to continuous clinical variables
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
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.