Sentence examples for models we started from inspiring English sources

Before analyzing the prediction models, we started with some general analyses on the EQ-5D.

In all of the network evolution models, we started with a random connected seed graph that has 10 nodes and 25 interactions.

"But hopefully as we test and improve models, we start moving towards having better capabilities with the computational modeling".

The structure of this section is the following: As the structure of system algebras for translation-invariant systems has only been studied sparsely even for simple scenarios of spin models, we start by examining this case first.

By use of a parametric analysis on computer models we start to acquire the very useful ability to predict pre- and postoperative conditions for specific patients and also to develop patient specific models to investigate physiological states of individual patients.

For each model, we started with a maximal random-effects structure (Barr, Levy, Scheepers, & Tily, 2013); we then examined the correlations among the random effects, and for correlations that were near 1, we simplified the random effects-structure to prevent the models being over-parameterized (Bates, Kliegl, Vasishth, & Baayen, 2015).

In developing the latter model, we started with the evident constraint that, the more time spent on one movement, the less time remained for the other.

To understand the signature of selection on pathogen molecular variation in our model we started considering the invasion of the resident pathogen population by a slightly distinct variant (phenotypically).

In the present model, we started by incorporating the Ca2+ buffering formulations of Kurata et al. (36).

Because our design criteria depend on the process model, we started by fitting a GP model to the outputs of the numerical model available.

To select characteristics for evaluation in the logistic regression model, we started with clinical characteristics that are frequently and reliably measured in routine clinical practice (e.g., hypertension).