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English(EN) What is Learnable in Valiant's Theory of the Learnable?

重访Valiant的可学性模型，建立新表征

作者 PulseAugur 编辑部 · [2 个来源] ·

研究人员重访了Valiant最初于1984年提出的可学性模型，该模型与更常见的PAC学习模型不同，它允许学习者发出成员查询，并要求假设没有假阳性。他们为Valiant模型中的可学性建立了一个新的表征，表明其学习能力严格介于PAC学习和无查询变体之间。该研究还提出了在Valiant框架内学习$d$维半空间的第一个算法，证明了它们具有可查询性。 AI

影响 深化了对可学性的理论理解，可能影响未来的算法设计。

排序理由 详细介绍理论计算机科学研究的学术论文。

在 arXiv cs.LG 阅读 →

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重访Valiant的可学性模型，建立新表征

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报道来源 [2]

  1. arXiv cs.LG TIER_1 English(EN) · Manolis Zampetakis ·

    Valiant's Theory of the Learnable 中有哪些可学之处？

    Valiant's 1984 paper is widely credited with introducing the PAC learning model, but it, in fact, introduced a different model: unlike PAC learning, the learner receives only positives, may issue membership queries, and must output a hypothesis with no false positives. Prior work…

  2. arXiv stat.ML TIER_1 English(EN) · Steve Hanneke, Anay Mehrotra, Grigoris Velegkas, Manolis Zampetakis ·

    Valiant's Theory of the Learnable 中有哪些可学之处？

    arXiv:2605.13840v1 Announce Type: new Abstract: Valiant's 1984 paper is widely credited with introducing the PAC learning model, but it, in fact, introduced a different model: unlike PAC learning, the learner receives only positives, may issue membership queries, and must output …

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