Sentence examples for graphical modelling from inspiring English sources
Graphical modelling techniques were used to investigate the associative structure and conditional independence between deficits within and across the domains sampled by BCoS (attention and executive functions, language, memory, praxis and number processing).
Multi-dimensional machine learning methodology (also known as Bayesian graphical modelling) is a variety of graphical modelling structure discovery techniques used to identify the dependency structure that encodes the joint probability distribution between variables [ 24, 25], allowing for both visualization and estimation of associations.
Stochastic Graph Transformation combines graphical modelling of various software artefacts with stochastic analysis techniques.
The paper also highlights the utility of using graphical modelling to understand the relations between cognitive components in complex datasets.
Specifying the structure of the model is one of the most important design choices in graphical modelling.
The approach is based on hierarchical state machines extended with timing constraints, and a supporting toolbox which enables graphical modelling, automatic code generation, simulation and real-time execution of a system.
Introduction to Graphical Models.
Probabilistic Graphical Models.
