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The slopes were evaluated from the tangents of the linear fit for all the datapoints between two points i and i + NP - 1 (NP = number of datapoints over the distance D) for all the points i in the height profile.
Dividing the data into six groups of ~ 25 datapoints , with increasing uD + A, shows a greater level of heterogeneity in the local density s-values while maintaining a strong negative dependence of s on uD + A.
Simply removing either the last two groups or the four datapoints with the highest acceptor levels results in a reduced value of p = 0.2454, indicating a lack of evidence of dependence.
The whole set of 40 datapoints allows us to determine a good average of k 0 and [beta]. Only for the tryptophans of NSCP is an additional lifetime found, which might be an indication for additional sources of heterogeneity.
Support vector machines can be phrased as statistical query algorithms, but the number of queries scales with the number of datapoints .
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