MinimaxSplit trees and forests minimize maximum child impurity for splits, with oracle inequalities claiming faster excess risk convergence than CART under non-atomicity conditions, plus empirical gains on EEG regression and image denoising.
sizes” ofU1 {U∈I} on the two sets. The “size
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Stabilizing the Splits through Minimax Decision Trees
MinimaxSplit trees and forests minimize maximum child impurity for splits, with oracle inequalities claiming faster excess risk convergence than CART under non-atomicity conditions, plus empirical gains on EEG regression and image denoising.