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Research on decision tree approximation withdrawn after submission

By PulseAugur Editorial · [1 sources] ·

A recently withdrawn arXiv paper proposed a polynomial-time algorithm for approximating the uniform decision tree problem. The algorithm achieved an approximation ratio of less than 11.57, improving upon previous greedy methods. Its approach involved decomposing the optimal decision tree using techniques from hierarchical clustering and reducing subproblems to the Maximum Coverage problem. AI

IMPACT This research, though withdrawn, explored algorithmic improvements relevant to decision-making processes in AI.

RANK_REASON The cluster contains a withdrawn academic paper detailing a new algorithmic approach.

Read on arXiv cs.LG →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Research on decision tree approximation withdrawn after submission

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The cluster contains a withdrawn academic paper detailing a new algorithmic approach.
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COVERAGE [1]

  1. arXiv cs.LG TIER_1 English(EN) · Micha{\l} Szyfelbein ·

    Constant-Factor Approximation for the Uniform Decision Tree

    arXiv:2604.12036v2 Announce Type: replace-cross Abstract: We resolve a long-standing open question, about the existence of a constant-factor approximation algorithm for the average-case \textsc{Decision Tree} problem with uniform probability distribution over the hypotheses. We a…

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