A multi-armed bandit-based dynamic pruning method for decision trees is proposed, reporting improved generalization over greedy cost-complexity and reduced-error pruning on benchmark datasets.
Bramer, ``Pre-pruning classification trees to reduce overfitting in noisy domains,'' in International Conference on Intelligent Data Engineering and Automated Learning
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Multi-Armed Bandits-Based Optimization of Decision Trees
A multi-armed bandit-based dynamic pruning method for decision trees is proposed, reporting improved generalization over greedy cost-complexity and reduced-error pruning on benchmark datasets.