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Updated: Jun 13, 2025

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一个像Hebbian这样的学习规则可以避免稀疏分布式数据中的维度的诅咒吗?

Maria Osório1, Luis Sa-Couto2, Andreas Wichert2

  • 1Department of Computer Science and Engineering, INESC-ID & Instituto Superior Técnico - University of Lisbon, Av. Prof. Dr. Aníbal Cavaco Silva, Porto Salvo, 2744-016, Lisbon, Portugal. maria.osorio@tecnico.ulisboa.pt.

Biological cybernetics
|September 9, 2024
PubMed
概括

在受限制的博尔兹曼机器 (RBMs) 中的Hebbian学习有效地解决了稀疏数据中维度的诅咒. 在这些数据集上,RBM表现出强烈的概括性,在这些数据集上表现优于传统的反向传播神经网络.

关键词:
维度的诅咒 维度的诅咒希伯语学习 希伯语学习有限制的博尔茨曼机器.稀少的分布式表示形式.

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