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Updated: Feb 28, 2026

A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments
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A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments

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换算代数,代数拓学和拓学光谱理论对现实世界数据的解释性和可表示性

Yiming Ren1, Guo-Wei Wei1,2,3

  • 1Department of Mathematics, Michigan State University, East Lansing, Michigan, USA.

Advanced intelligent discovery
|February 26, 2026
PubMed
概括

这项研究比较了三种数学AI方法:持久的同质性 (PH),持久的拉普拉斯式 (PL) 和持久的换算代数 (PCA). PH,PL和PCA提供了对数据结构的互补洞察力,增强了复杂系统的可解释AI.

关键词:
可解释的人工智能数学上的不变数是不变的.坚持不的拉普拉西亚人.持久的换算代数.持久的同质性 持久的同质性拓学数据分析数据分析.

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