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Updated: Mar 12, 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

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一个基于信息的模型选择标准,用于数据驱动的模型发现

Michael C Chung, Alen Zacharia, Juan Guan

    ArXiv
    |March 11, 2026
    PubMed
    概括

    本研究引入了一种新的稀疏回归算法,采用样本长度缩放对数信息标准 (SLIC),用于数据驱动的模型发现. SLIC有效地确定了最佳模型,优于现有方法,并从实验数据中生成可测试的预测.

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