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Time series data often contain both linear and nonlinear patterns.
There are many methods proposed in literature to handle complex and nonlinear patterns.
Kernel functions preprocess the inputs, thus taking the nonlinear patterns into consideration during the preprocessing procedures.
Data mining algorithms cannot extract the complex and nonlinear patterns that exist in Big Data.
Nonlinear patterns may describe the conformer set in a more suitable way.
The ML XGBoost is a powerful statistical method of classification which detects nonlinear patterns in datasets with missing values.
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Weakly nonlinear pattern analysis and the related numerical simulations are given in Section 4.
The observed nonlinear patterning is explained visually in Fig. 6 a.
Though the formal tests did not indicate any problem, Figure 10 shows some nonlinear pattern.
Additionally, the team observed that the vocal folds often vibrated in a nonlinear pattern, which would be expected in the MEAD method.
The shear distribution along the stories displays a nonlinear pattern and depends on the column cross section.
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