Sentence examples for approximation of the data from inspiring English sources
Approximation of the data of cosmic rays with the least error was obtained by using coiflets with p = 3.
Since only three test points were available for actuator No. 1, we did not plot the approximation of the data.
A nonholistic representation and a low rank approximation of the data make better performance for an FER system [16].
A low-complexity closed-form version of the previous algorithm by assuming a linear approximation of the data rate of the victim users. 5.
Additionally, we propose a low-complexity closed-form version that fixes the penalty factor by assuming a linear approximation of the data rate of the victim users.
The approximation of the data distribution for data that is not considered i.i.d. is very cumbersome, making this assumption necessary for practical purposes as well.
If an Activity Area contains pixels, this gives samples from frame to, which leads to improved approximations of the data distributions, as well as better change detection performance.
> -wrap-foot> Hosmer–Lemeshow goodness-of-fit tests showed that the fully adjusted Models 1 3 were reasonable approximations of the data (P > 0.05 in each case).
The objective of this effort was to determine if the CDM version of the CPRD data was a good approximation of the raw data; however the comparison also indicated there were differences between the CPRD data from the time period of the original study vs. the data as it exists today.
The first member within F, the data fidelity term, aims for a least-square approximation of the captured data I(s) while the second one, the so-called regularization term, has been purposely introduced in order to ensure existence as well as uniqueness of a minimizing solution x(s).
In RNMF, we extend the NMF objective function by adding a label matrix factorization term and an additional network regularization term to encode the network structure and label information of proteins, and we seek a matrix factorization which gives a new data representation that provides a good approximation of the original data matrix to make prediction for the unlabeled proteins.
