A. N. Pettitt, T. T. Tran, M. A. Haynes, J. L. Hay, A Bayesian Hierarchical Model for Categorical Longitudinal Data from a Social Survey of Immigrants, Journal of the ...

H-Store employs a hierarchical data model. While hierarchical organization is less flexible (and, arguably, less "correct") than the relational model, it allows for highly optimized partitioning and ...

It is the responsibility of the verification methodology to ensure that a hierarchical model with the correct configuration is plugged in for the correct instance. The proposed HDM-based methodology ...

A modelling framework for studying the combined effects of climate and land-cover changes on the distribution of species is presented. The model integrates land-cover data into a correlative ...

What Is Predictive Modeling? Predictive modeling uses known results to create, process, and validate a model to forecast future outcomes. It is a tool used in predictive analytics, a data mining ...

Since the core engines of Aprisa (AtopTech’s leading physical design solution) work directly on an integrated hierarchical data model, Apogee is essentially a natural extension of Aprisa, which allows ...

In this paper, we describe the hierarchical data model (HDM), which is a performance efficient alternative to the traditional flat CDC verification flow. The HDM is equivalent to an abstract CDC model ...

Hierarchical Reasoning Models (HRM) tackle complex reasoning tasks while being smaller, faster, and more data-efficient than large AI models.