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The system was developed using one dataset and might not perform well on other datasets, especially with the rules that were developed.
Different merging algorithms for total as well as vertically resolved ozone rely on (a) inter-satellite calibration, i.e. using one dataset as reference standard [20 23], (b) ground-based measurements as reference data [24, 25], (c) data assimilation techniques [26, 27] and (d) optimum interpolation [28].
That is, if we derive a posterior probability distribution function for a parameter using one dataset, we can apply that as the prior when a new dataset comes along, and thereby improve our estimates of the parameter and shrink the error bars.
Therefore, the classifier trained using one dataset may not apply for another.
This study examines one funding programme, using one dataset.
Due to somewhat different designs, some study analyses could only be performed using one dataset, but not the other.
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A participant would use one dataset with one presentation format, and then another comparable dataset with the other presentation format.
In other cases, analysis of combined data used one dataset to extract a signature, which was then validated in other data sets (Ramaswamy et al., 2003).
Section 3 shows results of our algorithm using one artificial dataset and one real-life dataset.
We have compared the performance of our algorithm with that of existing algorithm using one artificial dataset in terms of affirmation score and one real-life dataset in terms of coverage, statistical difference from background and triclustering quality index score.
While the strategies we discussed could be designed and implemented with limited information, they were only tested using one specific dataset corresponding to one particular school.
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