Sentence examples for multiplication of data from inspiring English sources

MAC allows multiplication of data by data or data by stored or generated coefficients.

In contrast to the EFSA Panel's statement, no breaks, further standardisation, or multiplication of data were applied in the statistical analysis of the distance relationship for pollen deposition on Urtica leaves.

Multiplication of data sources within heterogeneous healthcare information systems always results in redundant information, split among multiple databases.

This can be expressed by the element wise multiplication of the data symbols with a scrambling sequence (12).

This makes a household transformation necessary: a multiplication of all data sets by the number of household members and a subsequent division by the average household size.

Instead it is implemented by multiplication of the data vector by the pre-computed matrix, as described in Section 4. The most complex operation is the computation of the pseudoinverse of a δ +γ × γ complex matrix.

The relationship between the transformation in the above mentioned references and the transformation, which is utilized in this section, is determined by the multiplication of the data (from one side or from both sides) by the 4 n × 4 n matrix T : = ( − I 0 0 0 0 0 I 0 0 I 0 0 0 0 0 I ) = T − 1, e.g., T ( − x 0 x N + 1 u 0 u N + 1 ) = ( x 0 u 0 x N + 1 u N + 1 ) = ( z 0 z N + 1 ).

This transformation can be a quantile scaling or simply a multiplication of the data by a constant.

In 2012, Kujawski proved that matrix multiplication of ordinal TRL and IRL data elements produces inaccurate computations of system readiness [17].

The inactivation of sipX (lmo1269) encoding a type I signal peptidase resulted in an eight-fold reduction of the intracellular multiplication of L. monocytogenes (data not shown) and also significantly affected the listerial virulence [ 35].

In: Proceedings of IEEE International Conference on Fuzzy Systems, FUZZ-IEEE'02, May 12 17, pp. 29 34] is not convergent on many real datasets due to its poorly designed termination criteria; and the computational complexity of the algorithm increases exponentially with increase in the number of input variables and in multiplication with the size of data patterns.