Sentence examples for model which unifies from inspiring English sources

We illustrate these ideas in a novel working memory network model, which unifies the influence of dopamine, basal ganglia-thalamo-cortical circuits, and the generation of subcortical background oscillations.

The novelty of this work is a multilayer graphical model which unifies the low-level vision task of restoration and the high-level vision task of recognition in a cooperative framework.

Gupta and Huang proposed a unique approach to image restoration that leverages a multilayer "patch-based" graphical model which unifies the low-level vision task of restoration and the high-level vision task of recognition in a cooperative framework.

To answer these questions, here we first study a simple prototypical model which unifies many adaptive systems.

However, this model which unifies eight different models is for general applications and does not take into account the unique characteristics of the users.

In order to cover a broader range, recently developed models include terms describing plasticity and viscosity, the two major material behaviors, and, unified models, which unify both the plastic and viscous terms as viscoplastisity, have received considerable attention.

This series of two papers contains a review reconsidering the entire field from this viewpoint (Paper 1) and a mathematical model of pattern transduction which unifies features of phototropism and resolves the paradoxes (Paper 2).

We present a new dorsal ventral stream framework for language comprehension which unifies basic neurobiological assumptions (Rauschecker & Scott, 2009) with a cross-linguistic neurocognitive sentence comprehension model (eADM; Bornkessel & Schlesewsky, 2006).

The key step is a reformulation of the Vlasov Maxwell system which unifies the two models in a single set of equations with a smooth transition from one to another.

We explore the construction of models in the absence of keyword examples (dictionary-based), when keyword examples are abundant (Gaussian mixture models), and also present a Bayesian approach which unifies the two.

Second, we applied the association testing method implemented in the CNVtools package, which unifies genotyping and association testing into a single model by incorporating a dichotomous disease variable into the mixture model for the signal [ 20].