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A 3rd order Lagrange interpolating polynomial was used to obtain a complete distribution between data points for multiple datasets (Liu and Gu 2001).
Individual seal was included as random effect in these models, to allow for the lack of independence between data points for individual seals.
To identify which functional assessments coordinated most closely with ALSFRS-R scores, Pearson correlations were calculated between data points for the various functional outcome measures.
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The idea of the support vector machines (SVMs) is to find the optimal hyperplanes between data points of different groups; see [ 3] for a detailed description about the method.
The method is not wholly objective because two investigators may produce somewhat different maps whenever interpolation between data points is necessary for construction of the contours.
This paper addresses the question of how to obtain values between discrete data points, for example, when sampling turbulent wind.
Two time series which have a low correlation coefficient may in fact be strongly correlated if a time lag is allowed between the data points for the two species.
The interval between data points was 50 μm; in total, we obtained ∼6000 data points for each SN.
A time adjusted variable was introduced to reduce observer bias which decreased the N. Repeated measures ANOVA was not utilized due to missing values, unequal time differences between data points, and the inability to adjust for a number of covariates.
The interval between data points was 20 µm; in total, we obtained approximately 6000 data points for each hippocampal region.
To this end, we first propose a curvature constraint to find the shortest path between data points and then use it in Isomap for subspace learning.
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