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For instance, the company was using a traditional linear regression algorithm for its credit scoring system.
Figure 45 depicts the linear regression algorithm.
In this study, a script is written in MATLAB to perform the linear regression algorithm.
The calibration function was calculated using a linear regression algorithm of the ICP-OES software.
The latter uses a property of the Pareto order statistics, together with a linear regression algorithm.
The second tool was a linear equation model, derived through a linear regression algorithm, which predicts the numerical value of soil Bd.
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Those companies are already taking advantage of this data with traditional linear regression algorithms and simple criteria.
However, to gain more insights of the data (i.e. discover a common behaviour, or a group of data that displays similarity within the entire set), then more advanced techniques, such as correlation, various linear regression algorithms need to be involved.
The proposed system uses a non-linear regression algorithm based on exponential non-parametric adaptation (PA) method, which was implemented on Airtel 4G LTE category 4 wireless networks in client-server environment.
This study therefore aims at investigating the influence of 171 possibly related features on the regional energy use intensity (EUI) of residential buildings using a non-linear regression algorithm, namely Random Forests (RF).
A non-linear regression algorithm of LM was utilized to fit the rival rate expressions to the experimental results by minimizing the summation of the squares of the deviations as follows and estimation of the reaction rate constants: f i, obj = ∑ i = 1 N r i exp - r i cal r i exp 2. (9).
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