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A Moving-Horizon Approximate Branch-and-Reduce Method for Deep Classification Trees

arXiv:2609.38194v1 Announce Type: new Abstract: Despite the importance for interpretability, decision trees face severe scalability challenges. Existing global optimal methods are often limited by binary feature selection and shallow tree depths, whereas traditional heuristic approaches frequently…

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  1. 2026-10-01 04:00 · arXiv cs.LG
    A Moving-Horizon Approximate Branch-and-Reduce Method for Deep Classification Trees

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