Sentence examples for converting model from inspiring English sources

In this paper FM is formalized from an ontological view by converting model into a predicate-based ontology and defining a set of first-order logic based rules for identifying FM inconsistencies along with their causes in natural language in order to assist developers with solutions to fix defects.

For converting model (7) into a linear model, the following transformation is utilized: (~~~{left| x_i-x{ik}right| le a_iquad i=1,ldots,m}~) and (~{left| y_r-y{rk}right| le b_rquad r=1,ldots,s}.) Thus, we have: begin{aligned} left{ {begin{array}{ll} {{x_i} - {x_{ik}} le {a_i},} & {i = 1, ldots,m,} {{x_i} - {x_{ik}} ge - {a_i},} & {i = 1, ldots,m,} end{array}} right.

Instead of converting model estimates to a point system, and using intervals for continuous variables such as age, as in V.1.0, V.2.0 directly utilises model estimates themselves to compute cumulative risk (see: http://www.outcomes-umassmed.org/grace/files/GRACE_RiskModel_Coefficients.pdf).pdf

RA was responsible for converting models into a valid SBML format and helped designing the application.

The converted model SH-coefficient data sets cover the period from March 2009 to February 2011, with that of January 2011 excluded due to the absence of GRACE data for this month.

To predict binding specificities for a given ERBB2IP-1 multi-mutant sequence and some ligand position, we had to convert model scores to PWM probabilities.

Because readmission rates ranged from nearly 18%to25%5%, we converted model adjusted odds ratios to risk ratios to simplify direct interpretation.

ALC is a computer program that converts model definitions for layer-based models into model files in different formats as well as into documentation files.

ALC converts model definitions given in a simple but powerful rule-based syntax to computational models in different formats, as well as documentation files.

Several projects convert model representations into semantically enriched formats to compare models and to improve the integration with knowledge in bio-ontologies (56, 57).

However, with this information it will also be possible to automatically convert models from one modelling frameworks in another [ 11].