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These matrices are small individual plates bearing not only the negative image of the letter or symbol but also a series of transparent marks whose arrangement constitutes its binary identification code.
The resulting matrices are small, the eigenvalues are easily calculated and the bifurcation points are correctly captured.
Matrices are small with the reduced basis discretization.
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More importantly, if the number of test samples used in confusion matrices is small, the κ-statistic may not reflect the effect of many misclassified pixels (commission errors).
When no molecular data from hybrids were used, the G matrices were small (from 120 × 120 to 420 × 420).
For the other traits, the absolute increase with any of the weighted G matrices was small but prediction was consistently better than what could be obtained with G BASE.
The algorithm has excellent performance when the correlations among the columns of the design matrix are small, but empirical results suggest that moderate to strong multicollinearity leads to slow mixing.
Considering (3.10), it is apparent that this behavior originates from the sigmoidal shape of the activation function: when (vert I^{c}vert ) is large, then (vert mu vert ) is large as well, therefore (mathscr{A}' (mu )) and the entries of the effective connectivity matrix are small.
Figure 4 shows that a large area of the global kernel matrix is blue, which means that most values in the global kernel matrix are small.
With survey data the Wald test can be unreliable if the degrees of freedom on the estimated covariance matrix are small [ 28].
As the number of precoding matrices is smaller, the feedback overhead can be reduced.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com