Sentence examples for backward model from inspiring English sources

It is different from the backward model, or non-AI predictive computer algorithms, in that in a backward model a prediction is made on a past data set and the unique parameters that are chosen at the time of the model building.

We now consider the selected graphical model, obtained by means of (backward) model selection from the mixed data source, obtained by averaging the complete variance-covariance matrices of financial and tweet data, as shown in the "Application and results" section.

Therefore, it does not have the capacity to modify its guesses or predictions because no matter how many times the backward model is fed data, it will always give the same answer for the same data point, this is a crucial difference to the forward model, where the answer changes with more data that is fed into the model.

The previous results suggest to use the above posterior mean as the variance-covariance matrix of a complete graph on which to base (backward) model selection, thereby leading to a new selected graphical model, based on a "mixed" data source, that contains both financial and tweet data, in proportions determined by the quantities (alpha) and n.

We adopt their method, and in preliminary analysis not shown here (results available upon request), used a hierarchical backward model selection strategy to obtain the following reduced-form double cohort model: z=M+kappa +eta +pi +left kappa cdot pi right)+left eta cdot pi right) (1).

Many are switching over to natural gas, seeing there's no future in maintaining the economically backward model that politicians are racing to protect.

Stepwise, forward, and backward models selected the same final model for each PCA axis.

Common problems and issues related to this type of backward modelling are also discussed.

Both the backward models offer the same benefits in selecting physical modes, since both can provide a determinate boundary that separates system modes from spurious modes.

In general, backward models were in close agreement with forward models (Tables 3 and 4; Additional file 1: Tables S1-S3).

The optimal model was chosen as the convergence of the forward and backward models, with consideration of parsimony and plausibility.