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English(EN) Location-Invariant Properties of Functions Versus Properties of Distributions: United in Testing but Separated in Verification

Apple ML 研究：函数性质与分布性质在验证上的区别

作者 PulseAugur 编辑部 · [1 个来源] ·

Apple Machine Learning Research 发表了一篇论文，详细阐述了函数的位置不变性与分布性质之间的区别。研究强调，尽管这两种性质的测试可能密切相关，但它们的验证过程却存在显著差异。该论文为几种位置不变的函数性质引入了双亚线性交互式证明（IPP），证明了验证的复杂性可能远低于测试。这与分布性质形成对比，后者已被证明缺乏类似的双高效 IPP。 AI

影响 这项研究阐明了验证函数和分布性质的理论区别，可能影响机器学习中未来验证系统的设计。

排序理由 该集群包含一篇详细介绍新研究成果的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 Apple Machine Learning Research 阅读 →

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Apple ML 研究：函数性质与分布性质在验证上的区别

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该集群包含一篇详细介绍新研究成果的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. Apple Machine Learning Research TIER_1 English(EN) ·

    函数的位置不变性与分布的性质：测试中的统一与验证中的分离

    A property of functions is called location-invariant (or symmetric) if it can be characterized in terms of the frequencies in which each value occurs in the function, regardless of the locations in which each value occurs. It is known that the (query) complexity of testing locati…

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