Model generation is one of important branches of machine learning. Based on thorough study on FDD algorithms,this thesis presents the algorithm of Multi-Dimension Formula Discovery from Data (MD-FDD).
模型生成技术一直是机器学习的一项重要内容，本文在深入研究FDD公式发现算法的基础上，设计和实现了多维函数公式发现算法MD-FDD。
参考来源 - 模型规范化与多主体域组织模型研究·2,447,543篇论文数据，部分数据来源于NoteExpress
Change the model generation to client based.
将模型生成改成基于客户端的。
A level of detail model generation algorithm based on geometrical feature is presented.
提出了一种基于几何特征的细节层次模型生成算法。
Note that if the model generation is changed to client based only the client has access to the source data.
请注意，如果模型生成改成基于客户端，那么只有客户端有权限访问源数据。
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