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

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 ...

That hierarchical model has traditionally taken the form of a pyramid. More recently, Industry 4.0 and smart manufacturing have arrived. They aim to advance manufacturing through the establishment of ...

This novel simulation method gradually shifts from coarse-grained models to the finer-grained ones, selecting more possible candidates from a large number of model complex structures and then ...

METHODS We present a new model for estimating the NMR for countries worldwide, using a Bayesian hierarchical model framework. CONTRIBUTION Our modeling approach offers an intuitive way to share ...