Sentence examples for example of prediction from inspiring English sources

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Silver notes that Julius Caesar is a classic example of prediction ("beware the ides of March"), with Caesar – a bit like Karl Rove and some other members of the Republican party – wilfully ignoring the signs that point to his own demise.

Fig. 3 Example of prediction intervals.

Fig. 3 Example of prediction for metoprolol.

Figure 7 Example of prediction uncertainty regions for current frame based on previously tracked features.

This method is divided into two main steps: Figure 15 Example of prediction analysis.

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Figure 7 indicates an example of predictions where ring samples at 7% and 7.4% parasitemia were used as unknown and a PLS model in the range of 5 10% parasitemia was used; the average standard error of the prediction-deviations was 0.08% at factor 1.

The inputfile passed as an argument to the executable should contain a list of document sets used as training examples or, in case of prediction, test examples.

Examples of prediction intervals for WSN traffic feature F6 (the number of WSN packets per time period) and F5 (received signal strength indication (RSSI) [dBm] of WSN sensor) are presented in Figs. 8 and 9, respectively.

Examples of prediction from social media and sensor data include human motility (De Domenico et al. 2013; Gonzalez et al. 2008), friendships (Eagle et al. 2009), personality (Youyou et al. 2015), and private traits such as sexual orientation and ethnicity (Kosinski et al. 2013).

Examples of prediction rules for persistent disability are the Symptom Checklist Back Pain Prediction Model (SCL BPPM) questionnaire[ 18] or the "Recherche sur les Affections Musculo-Squelettiques" (RAMS) questionnaire[ 19] The SCL BPPM can be used for the general population, while the RAMS can be used for workers.

Two extreme examples of prediction models are a model for which p i = 1 for all individuals (with the consequence of all of them being treated, whatever the threshold probability), and a model for which p i = 0 for all individuals (with the consequence of none of them being treated, whatever the threshold probability).

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