Sentence examples for model using information from inspiring English sources

Here we describe the development of a prediction model using information gleaned from HLA II-peptide (HLA II-p) structural data.

We therefore design a heuristic based on solving a smaller, more tractable, model in which we aggregate time periods, and then solving the original model using information gained from the aggregated model.

Our objective was to compare three estimation models: (1) the All Information Model, using variables available from the American College of Surgeons National Surgical Quality Improvement Program (ACS NSQIP); (2) the Surgeon Assessment Model, using variables available to surgeons preoperatively, and (3) the Patient-Entered Model, using information that patients know about their own health.

"There is a lot of competition for the digital media business our differentiator is fundamentally transforming the business model using information technology," says Swapp.

"To increase the accuracy of the assessment of the uncertainty associated with the estimates of the population parameters of interest, PIAAC uses plausible values (PVs)—which are multiple imputations drawn from an [estimated] posterior distribution [obtained by] combining the IRT scaling of the cognitive items with a latent regression model using information from the BQ … in a population model".

The second model is a model using information associated with a large number of eigenvalues of the sample correlation matrix, the selected eigenvalues being chosen by using RMT.

Unlike traditional sales models for established companies, this model uses information gleaned from prospective customers to determine whether to abandon the idea, improve it, or proceed with prototying, product development, and further lead generation.

A competitor, Jobr, which also employs the swipe-if-you-like model, uses information from LinkedIn to recommend jobs that candidates might find interesting.

The neural network model uses information from multivariables and considers engine dynamics to do multi-step ahead prediction.

This figure confirms that forecasts by the EXP model are better than random forecasts, as the model uses information on the average of observed recurrence interval.

This model uses information obtained from airborne geophysical surveys across the UK to provide a lithological and geostatistical estimate for all the UK bedrock formations.