Sparse Graphical Modeling for High Dimensional Data: A Paradigm of Conditional Independence Tests Faming Liang Bochao Jia, Faming Liang Chapman & Hall August 2, 2023 This book offers a comprehensive… ...

When performing dimension modeling, the atomic data is loaded into dimensional structures. Then the dimensional models are generated or built around the business processes. While creating, filter ...

What does dimensional modeling actually mean? Find out inside PCMag's comprehensive tech and computer-related encyclopedia.

Conclusively, Multi-Dimensional Modeling plays a crucial role in empowering decision-making and driving process improvements in enterprise data management. By providing a comprehensive view of data ...

In high-dimensional data analysis, we propose a sequential model averaging (SMA) method to make accurate and stable predictions. Specifically, we introduce a hybrid approach that combines a sequential ...

View all PCA isn't the sole dimension reduction protocol available. There are others, depending on the linear condition of the data and for niche machine learning needs. But dimension reduction is ...

David E. Foster, An Overview of Zero-Dimensional Thermodynamic Models for IC Engine Data Analysis, SAE Transactions, Vol. 94, Section 7: FUELS AND LUBRICANTS (1985), pp. 436-449 ...