Sentence examples for small set of models from inspiring English sources

Most existing applications of Bayesian model selection methods to chemical kinetics have been limited to comparisons among a small set of models, however.

The pairwise approach and the testing tool we developed to assist in the testing of Simulink-like models are detailed in Sect. 4. Section 5 presents the experimental results of the test data generation methods applied to a small set of models.

To avoid needless collinearity created by simply using all the variables available, we followed recommendations from Burnham and Anderson [27], which include omitting unrealistic relationships, positing a small set of models first, and avoiding a "just the numbers (let the computer figure it out)" approach.

There are two important ingredients that need to be defined in a model selection approach: (1) A small set of models which we believe are able to explain the data, and (2) A set of criteria that enables us to compare these models.

A key advantage of model linking is that it allows a wide range of real-world situations to be simulated from a small set of model components.

Because these rate laws combine mechanistic details into a small set of model parameters, they are sometimes referred to as "lumped" or "semimechanistic" models.

The quantity and quality of available data on genome-wide transcriptional regulation are significant only for a small set of model organisms.

In summary, these various software packages work to reduce the complexity into a relatively small set of model parameters that are amenable to group statistics and comparisons.

This ensemble is resolution-dependent since a large set of structural models will likely be consistent with low-resolution electron density envelopes, compared to a much smaller set of models at higher resolution.

In some sense, the lD identity manifold used here is a practical simplification where a small set of training models (e.g., six models for each of the six classes, totally 36 in this work) is used for learning the generative model.

A Box Behnken experimental design is used to select a small set of these models to perform detailed reservoir simulation runs.