In machine learning, a hierarchical model is an approach that organises data and learning processes into layered structures. This structure reflects the inherent hierarchical nature of many real ...

The Purdue Model has provided a hierarchical structure for industrial communications to keep computing and networks deterministic. But in the age of IoT, data flow is no longer hierarchical. So what ...

Statistical inference in this context is challenging. A hierarchical model is a useful statistical tool to more efficiently analyze the data, and it is increasingly being used in computational ...

CAST, groups fine details into object-level concepts as attention moves from lower to high layers, outputting a ...

In this article, we describe the backbone of this solution: the hierarchical data model (HDM). HDM is equivalent to a portable CDC IP that captures the CDC intent of any block along with its ...

A novel Bayesian Hierarchical Network Model (BHNM) is designed for ensemble predictions ... By utilizing the river network's structure to integrate flow and stage data from upstream gauges, along with ...