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English(EN) Fitting and Learning Basis-Restricted Propositional Formulas

新研究分析布尔函数公式的学习复杂度

研究人员分析了使用特定布尔函数集构建的命题公式的拟合和学习复杂度。该研究确定了各种问题的难度,包括找到一个与给定标记样本匹配的公式、识别一个更小的公式以及最小化不可实现样本上的错误分类。这些发现适用于公式的树和电路表示,并考虑了其他命题片段的相关问题。 AI

影响 为理解布尔函数的学习和拟合复杂度提供了理论基础,这与基础人工智能研究相关。

排序理由 学术论文发表在arXiv上,详细介绍了理论计算机科学研究。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.LG 阅读 →

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

新研究分析布尔函数公式的学习复杂度

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学术论文发表在arXiv上,详细介绍了理论计算机科学研究。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.LG TIER_1 English(EN) · Balder ten Cate ·

    Fitting and Learning Basis-Restricted Propositional Formulas

    arXiv:2609.08961v1 Announce Type: cross Abstract: For a finite set $O$ of Boolean functions, we consider the class of propositional formulas built using the functions in $O$ as connectives. We determine, for each possible choice of $O$, the complexity of various fitting and learn…