Sentence examples for vector sample size from inspiring English sources

First, the length of the vector (sample size) does not generally change the measured fractal-like value for power analyses (left panel) with slopes < 1.0 and is not a factor for Whittle estimates for data with slopes approximately < 1.5.

This lack of infection is likely caused by low human presence in their habitat and, consequently, few or no infected vectors, low sample size, or a missing receptor in chimpanzees (14 ).

The alpha values for the doubled vector are slightly less than those for the original vectors (−0.02) but given the sample size that difference is reliable (t(263) = − 3.65, p < 0.0001).

These ROIs act as inputs for obtaining kernel Principal Component Analysis (KPCA), Partial Least Squares (PLS) or Large Margin Nearest Neighbours using a rectangular matrix (LMNN-RECT) in order to reduce the dimension of the feature vector to address the small sample size problem.

Although these parallelisms provide evidence that vector direction corresponds with dietary niche, the pattern was only partially corroborated in our reduced analysis of mean genus vectors, perhaps due to insufficient sample size.

To test for differences between strains, confidence intervals about the mean differences in cVC estimates should be constructed based on an acceptable confidence level and the appropriate degrees of freedom (based on the sample size of the vector competence function).

Input neurons: the number of neurons is equivalent to the sample size of the DWT vector.

Since the conventional gradient descent methods normally suffer from a long training time for the high dimensional feature vectors and large sample sizes, the training time increases dramatically when employing it for multiple ensembles.

We consider two settings each of sample size and mixing proportion vectors (a total of four settings).

For the null distribution simulations, we consider two settings each of sample size and mixing proportion vectors (a total of four settings).

It was defined as the square of vector sum of all sample angles divided by the sample size.