Sentence examples for predict subjects from inspiring English sources

We demonstrated that the computational model of theta phase precession can predict subjects' subsequent recall performance and that its predictive ability is better than experimental parameters (Fig. 3a) and other computational models (Fig. 5).

Propensity analysis incorporates predictive modeling for both exposures and responses, enabling researchers to predict subjects' propensity (likelihood) of exposure, given preexposure characteristics and population exposure distributions.

The overall conclusion from the experiment is that theory about social reputation can predict subjects' social-signaling behavior.

We model the medical allocation problem and experimentally test the power of several theoretical concepts (ranging from utilitarianism to Rawlsian behavior) to predict subjects' choice behavior.

Instead, psychometric theory relies predominantly on the development of abstract models that are meant to predict subjects' performance in certain tasks.

We use that learning model, together with a sampling function inspired by theory of optimal experimental design, to predict subjects' eye movements on the active learning version of that task.

We predict subject performance for a depth judgement task using published specifications for seven different 3D displays.

The resultant network after an 8-sec encoding period was used to predict subject's subsequent recall performance.

In this mode, the camera will focus continuously for as long as you half-press your shutter button, and can predict subject movement, too.

In this mode, the camera will track and predict subject motion, as opposed to locking the focus as soon as it acquired (which will result in most of your photos being out of focus).

Prediction: Coalition Members Will be Categorized by Tenure Length As predicted, subjects implicitly categorized members by tenure length: The average categorization score was significantly greater than zero (M = 0.78, SD = 1.77, t53 = 3.24, one-tailed p = 0.001, r = 0.41).