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Updated: Jun 27, 2026

Constructing and Visualizing Models using Mime-based Machine-learning Framework
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Constructing and Visualizing Models using Mime-based Machine-learning Framework

Published on: July 22, 2025

DAGAF:用于联合结构学习和表格数据合成的指向非循环生成对抗框架

Hristo Petkov1, Calum MacLellan1, Feng Dong1

  • 1Department of Computer and Information Sciences, University of Strathclyde, 16 Richmond Street, Glasgow, Lanarkshire G1 1XQ United Kingdom.

Applied intelligence (Dordrecht, Netherlands)
|April 3, 2025
PubMed
概括

这项研究引入了因果结构学习和数据合成的新框架,在准确性和数据生成质量方面超过了现有的方法. 它增强了使用多种因果模型对表格数据关系的理解.

关键词:
添加式噪声模型的模型.敌对的因果发现发现.有针对性的非循环图学习.线性在高斯的非循环模型.后非线性模型是一个后非线性模型.表格式数据合成表格式数据合成

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