As already mentioned, measuring the progression by comparing different students enrolled in different years of the apprenticeship makes the assumption that the four batches of students started their apprenticeship with similar spatial skills.
To analyze the variation of entity mentions in the T4SS corpora, we applied normalization methods to the four sets of annotated gold standard mentions, measuring the efficiency of each normalization approach in reducing the number of unique text strings in each of these sets.
In the analysis, the volumes of the tally trees were estimated using this simple model (10), while for the subsample trees the above mentioned measured volumes were used, to describe the effect of not measuring the height and upper diameter of each tree in the plot.
The mentioned measures are incorporated into the first step of proposed stochastic programming approach in this study.
A few respondents mentioned measures taken in the home for coma, where care-givers might attempt to rouse the patient from coma before taking him/her to the traditional healer.
For each of the mentioned measures, results from a local calibration of the model were compared with results based on the U.S. health care system.
All the above mentioned measures are threshold-dependent i.e. the prediction performance is evaluated for a fixed SVM cutoff score or threshold.
However, both mentioned measures are based on the knowledge of original image.
If (4) respondents scored positive on any of the three mentioned measures of harmful drug use, they scored positive on the summery measure of harmful drug use.
By (3.4) the proof is similar for the three mentioned measures of noncompactness.
Table 2 summarises the characteristics of some of the above mentioned measures (Cronbach's α, range, sum scores, deviation).
