We will base the following description mainly on results obtained from the DIP dataset, but similar considerations arose when considering the GOLD data (see some details below).
In that sense, since for the input data set containing 0%and1%1% of noise, the polynomial models are allowed to disagree with up to 5% of the bits of the input, it is not surprising that rather than being detrimental, the EA's performance slightly improves when considering data sets with some level of noise.
The models developed were validated and proved to be valid when considering different data sets.
We conclude with a discussion of a practical approach when considering registry data for clinical research.
When considering the data by school, however, as in the chart below, the state used the older, less complete tracking method.
To manage this problem, we propose an Information Volatility Measure IVMM) to complement business intelligence (BI) tools when considering aggregated data (intra-cell) or when observing trends in data (inter-cell).
The maps reveal considerable spatial variation in the impacts of previous logging, a pattern that was less clear when considering field data alone.
But redundancy is most important when considering how data is stored.
These distinctions take on greater weight, however, when considering the data environments and collection practices common with Internet-based research.
In practice, there is no guarantee that the collected data exactly follow the BS distribution, especially when considering fatigue data.
In another point of view when considering additional data with missing values, this would wrongly increase the index value.
