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Autonomous bivariate systems in which the non-linear terms are not multiplied by a small coefficient are investigated.
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Although the basic tendency was the same, i.e., a small coefficient variance was found by using feature regions with weight coefficient (g_j), the SIFT feature showed better performance compared with the proposed method.
where r is a small coefficient and R is the length of the delayed path length introduced by this filter.
A smaller coefficient indicated a mutation with restricted pleiotropy.
While there was a statistically significant weak correlation between the barometric pressure and OA incidence (p = 0.0001), a sound dependent relationship was not observed, as indicated by the small coefficient (rho = -0.204).
Hence, the signal can be represented by a small number of coefficients that correspond to the low frequencies (Varotsos et al. 2005; Marr and Harley 2002; Chellali et al. 2010).
The sparsity is a typical characteristic of the transform domain where noise is uniformly spread throughout all coefficients, and the data is represented by a small subset of big coefficients [38].
This is expected because boron carbide is being replaced by metallic HfB2 with a small Seebeck coefficient.
To obtain sparsity, SPLS penalizes the transformed input vectors by forcing small coefficients to be zero.
However, a large sample size might easily lead to small but significant correlation and regression coefficients, which is in parts underlined by the small coefficients found in the present study.
Regression with elastic net ensures sparse solutions by forcing small coefficients to be zero and thereby estimates the set of active genes whilst fitting the model.
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