Sentence examples for evaluation of this model from inspiring English sources

The numerical evaluation of this model can be carried out in two different ways.

An evaluation of this model is presented by comparing it with nonlinear autoregressive exogenous NARAX modeling method.

The results of the evaluation of this model are listed in Table 5 with the value (ɛ = 0.01).

The learnt dialogue behaviours used the Semi-Markov Decision Process (SMDP) model, and we report the first evaluation of this model in a realistic conversational environment.

Next, we describe the evaluation of this model, showing that gaze-tracking data can significantly improve model performance compared to lower level, time-based evidence.

Finally, the chapter reports on conclusions, recommendations and examples of adapted and personalized courseware designed for blended learning, and a user evaluation of this model, which demonstrates that users find the ambient intelligence environment useful for their career choice and easy and enjoyable to use for teachers and decision makers.

Unfortunately, subsequent evaluations of this model have produced inconsistent results.

Most evaluations of this model have focused on its first two levels.

The overall evaluation of the model in this paper also adapts the method of max 1ikelihood estimates and a variety of fitting indexes.

This warrants further evaluation of the model performance at other sites to support the findings in this study.

As this was a pilot study further development and continuing evaluation of the model is recommended.