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 ...

Technical Background and Innovation The emergence of the 'Lingji Smart City' large model relies on nearly a century of accumulated engineering drawing data from the Chongqing Design Institute, ...

At the launch event of the "Lingji Smart City" large model held in Chongqing, a groundbreaking urban digital twin technology ...

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

Data with high-dimensional covariates are now commonly encountered. Compared to other types of responses, research on high-dimensional data with censored survival responses is still relatively limited ...

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 ...

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 ...