Sentence examples for whose predictors from inspiring English sources

Stimulus-related effects were identified by fitting a general linear model whose predictors contained delta functions located at a constant offset from the task block onsets; in other words, a standard linear deconvolution approach to estimating the hemodynamic impulse response function without assumptions on its shape (see [17] for a description and evaluation of the method).

It uses a regression model whose predictors include estimated values for other variables through other regression models.

We report here only models whose predictors are statistically significant at p<0.05 or close to it.

These are used, in turn, to build a tracker whose predictor imitates the motion in the training set.

This result has been subsequently compared to a statistically derived model whose predictor space has been built to primarily represent superficial properties.

Fuzzy logic based effort prediction systems can deal better with imprecision, which characterizes the early phases of most software development projects, for example requirements development, whose effort predictors along with their relationships to effort are characterized as being even more imprecise and uncertain than those of later development phases, for example design.

These issues are more pronounced when these effort prediction approaches are used during the early phases of the software development lifecycle, for example requirements development, whose effort predictors along with their relationships to effort are characterized as being even more imprecise and uncertain than those of later development phases, for example design.

In each step, we tried to expand each predictor in the current set of best predictors by adding more genes to the predictors, and while keeping all the predictors whose error rates were not significantly worse than the error rate of the best predictor.

The final model under each method was estimated by 1) taking up the predictors whose inclusion frequency exceeds a certain threshold, and 2) estimating the regression weights of this predictor set on the imputed data.

Hence, M α is an individual model containing the predictors whose suffices are present in the set α.

All their parameters are estimated in real time in an ensemble of predictors, whose outputs are then optimally combined to obtain the final forecast.