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Updated: Jan 16, 2026

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数据集-学习二元性和新兴的关键性

Ekaterina Kukleva1, Vitaly Vanchurin1,2

  • 1Artificial Neural Computing, Weston, FL 33332, USA.

Entropy (Basel, Switzerland)
|September 27, 2025
PubMed
概括

我们在人工神经网络中发现了一个数据集-学习二元性,将数据集与学习动态联系起来. 这种二元性有助于解释训练过程中如何出现关键性,即使是从非关键数据中.

关键词:
数据集-学习的二元性.新兴的批判性.尺度不变性是指规模不变性.

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