Sentence examples for predictions to create from inspiring English sources

They then use the patch-level predictions to create an image level histogram that is used to train a logistic regression classifier.

The world's foremost optimism expert, Dr. Tali Sharot, writes that "The tendency for positive predictions to create positive outcomes is rooted in fundamental rules governing the way the mind perceives, interprets and alters the work it encounters.

More testing will be needed here, and the way forward for using MRI data for clinical predictions is to create and test new machine learning methods that can accurately locate brain regions that best correlate to specific ailments to help physicians make more reliable predictions and diagnosis.

They first employ a variety of data mining models to preprocess the original features (that have a low prediction power) to create strong features.

PE embedding is a technique to expand a prediction error to create a vacant position and insert a bit into the vacant position, generally at the least significant bit (LSB).

The known values of the function up to the point Y = X are used to predict the value at some point in the future Y = X + P. The standard method for this type of prediction is to create a mapping from D points of the function spaced Δ apart, that is,, to a predicted future value Y(X + P).

We tested two approaches, MAKER2 [ 28] and GLEAN [ 17], for combining outputs from multiple gene prediction tools to create an Official Gene Set (OGS).

Therefore, the future climate predictions were used to create different kinds of outdoor impact/risk maps [17] since they constitute a powerful tool for preventive conservation and policy makers.

In this study, we used the response surface approach incorporated in the ECe Sampling, Assessment, and Prediction (ESAP) software to create ground sampling designs from input imagery in order to develop regression equations for predicting crop height and width attributes in a 3.4-ha cotton field.

The resulting gene predictions were then used to create a new parameter file to be used by SNAP for future gene predictions.

We emphasized the degree of consensus among species distribution models regarding prediction of suitable climate for the species by overlaying the mapped predictions of each model to create a spatial frequency distribution.