English(EN) Surrogate Graph Partitioning for Spatial Prediction

作者撤回关于代理图划分用于空间预测的arXiv论文

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-12 04:00

一篇题为“代理图划分用于空间预测”（Surrogate Graph Partitioning for Spatial Prediction）的研究论文被提交至arXiv，提出了一种图划分方法，为预测任务创建可解释的空间分割。该论文旨在通过开发一种近似方案来解决精确解的计算复杂性问题。然而，该论文已被作者Yuta Shikuri撤回。 AI

影响这项关于可解释空间预测模型的已撤回研究没有直接的行业影响。

排序理由该条目是一篇关于机器学习主题的已撤回学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv stat.ML 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。我们如何撰写摘要 →

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报道来源 [1]

arXiv stat.ML TIER_1 English(EN) · Yuta Shikuri, Hironori Fujisawa · 2026-10-12 04:00

空间预测的代理图划分

arXiv:2510.07832v2 Announce Type: replace Abstract: Spatial prediction refers to the estimation of unobserved values from spatially distributed observations. Although recent advances have improved the capacity to model diverse observation types, adoption in practice remains limit…

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报道来源 [1]

空间预测的代理图划分

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