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Updated: Jul 2, 2025

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同意停止:可靠的延迟适应性决策通过尖端神经网络集体

Jiechen Chen1, Sangwoo Park1, Osvaldo Simeone1

  • 1KCLIP Laboratory-King's Communications, Learning and Information Processing Laboratory, Department of Engineering, King's College London, London WC2R 2LS, UK.

Entropy (Basel, Switzerland)
|February 23, 2024
PubMed
概括

集合模型通过增强适应性决策的不确定性量化来改善尖端神经网络 (SNN). 这种方法可靠地减少推理延迟,同时保持准确性保证.

关键词:
贝叶斯式学习是贝叶斯式学习.符合规范的预测.延迟适应性 延迟适应性刺激神经网络的神经网络.

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