Sentence examples for model architectures and from inspiring English sources

Rather than adhering to the minimal modelling approach [ 33, 98], we have not considered multiple model architectures, and the architecture used is fairly complex, so we accept that some parameters will not be uniquely determined.

It comes equipped with key ingredients including hyperparameters, data-sets, model architectures and learning rate decay schemes.

We suggest a combination of graph theory, Big Data and Uncertainty Quantification are foundational tools that can model architectures and more importantly the movement of data across architecture interfaces.

Existing research and program history was used to determine the model architecture and determinant variables.

This approach assumes therefore minimal constraints on the model architecture and cell characteristics.

As a consequence, there is currently large heterogeneity in terms of interface, data model, architecture and even terminology across NoSQL databases [7, 12].

Background information gleaned from clinical and medical research literature is used to develop model architecture and processes.

The ANN model architecture and training parameters were optimized, with inputs being selected using correlation analysis and principal component analysis.

We focus in the conceptual model, architecture and necessary elements we believe are required for a real world implementation.

However, typical sensitivity analyses of deterministic dynamic infectious disease models focus on model architecture and the relative importance of parameters but neglect parameter uncertainty when reporting model predictions.

It describes communication of the application with the KNX bus system, the use of MVVM (Model, View a View Model) architecture and application customizing for mobile phones.