This repository contains documentation, configuration and scripts on how to get started with the model graph tools. The model graph tools are a set of tools and services to analyze and work with the ...

My thessis on creating a new information retrieval model representing textual documents as graphs, considering node importance, the retrieval proccess is handled by the set based model. For more ...

In this letter, we develop and simulate a large-scale network of spiking neurons that approximates the inference computations performed by graphical models. Unlike previous related schemes, which used ...

Testing a covariance matrix following a Gaussian graphical model (GGM) is considered in this paper based on observations made at a set of distributed sensors grouped into clusters. Ordered ...