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Also, the estimation performance of PNN is improved by considering the correlation between the input data and the target output values.
In the local sampling strategy, EGHG updates a set of current best hypothesis candidates on the fly, and then computes JFDs between the input data and these candidates.
The basic idea of association rules [21] is find all the co-occurrence relationships between the input data.
Moreover, there are strong dependencies between the input data, as T_smooth and t_derivatives need to know not only the image being processed but also the neighbouring ones.
The relationship between the input data rate, the clock speed of the decoder and the input buffer size can be easily established via the DTMC model.
The developed model creates a quantitative formulation between the input data (SARA fraction data) and the target value (crude oil RI).
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In general, a preprocessor that removes correlation between samples in the input data block will improve the performance of the entropy coder.
This step precedes PP and is used to estimate the average distance between points in the input data.
In addition the plot of the PCs enabled the investigation of correlations between the variables of the input data set.
In this technique, the general relationship between the response and the input data is depicted in Eq. (4).
The control unit block guarantees the correct synchronization between the arrival of the input data and the computations for each PE.
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