Sentence examples for prediction classifications from inspiring English sources

ANN models are computer programs that are designed to emulate human information processing capabilities such as knowledge processing, speech, prediction, classifications, pattern recognition, and control.

In the prediction (classification) phase, the goal is to use the constructed classifier to predict new input instances unseen in training.

Fig. 5 Sequential prediction classification of spectrum prediction techniques.

Artificial intelligence algorithms have been applied separately or integrally for prediction, classification or optimization of buildings energy consumption.

Their works address the problems of modelling, prediction, classification, data understanding and processing in unpredictable environments by exploiting data stream processing techniques.

Our main contribution in this paper is to provide a statistical prediction classification framework to categorise and assess current spectrum occupancy models.

We illustrate a few paradigmatic methods applied to problems of prediction, classification and smoothing, giving emphasis to the key ideas Object Oriented Spatial Statistics relies upon.

Three different mechanisms are presented to allow for the representation of 3D surfaces in such a way that key features are retained while at the same time ensuring compatibility with prediction (classification) techniques.

Figure  1 shows the workflow of our terminator prediction classification.

The prediction classification performance of the Random Forest model can be translated to sensitivity and specificity.

The ROC scores are listed in Table 5. ROC score, that is area under ROC curve, is a widely-accepted performance measure for prediction classification problem.