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Updated: Jul 14, 2025

Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations
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Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations

Published on: February 15, 2017

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分类逻辑 通过神经网络进行两样样本测试,以区分近多重密度

Xiuyuan Cheng1, Alexander Cloninger2

  • 1Department of Mathematics, Duke University, Durham, NC, 27708 USA.

IEEE transactions on information theory
|October 9, 2023
PubMed
概括

本研究引入了一种用于两个样本问题的新型网络逻辑测试,有效地区分数据密度. 该方法为大型数据集提供了计算优势,并且与现有技术相比显示出更高的性能.

关键词:
最大的平均差异差异.神经网络两个样本测试多元数据分析的数据分析.神经网络近似理论 神经网络近似理论

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