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Found 2 papers, 1 papers with code
Regression and Classification by Zonal Kriging
Consider a family $Z=\{\boldsymbol{x_{i}}, y_{i}$,$1\leq i\leq N\}$ of $N$ pairs of vectors $\boldsymbol{x_{i}} \in \mathbb{R}^d$ and scalars $y_{i}$ that we aim to predict for a new sample vector $\mathbf{x}_0$.
Cost-complexity pruning of random forests
We study the effect of using the out-of-bag samples to improve the generalization error first of the decision trees and second the random forest by post-pruning.
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