Sentence examples for performance of the degree from inspiring English sources

Table 1 Performance of the degree 360 Slepian joint satellite and near-surface magnetic anomaly model (S360) Data Input (nT) S360 estimates (nT) CC RMS errors Max.; Min.

A softcore microprocessor-based hardware implementation on a field programmable gate array (FPGA) is presented for verifying the strip-based wavelet compression architecture and software simulations are presented to verify the performance of the degree-0 zerotree coding scheme.

However, if the simple MKL is used for estimating the parameters of the linear combination of kernels, successful performance of the error degree estimation is not possible.

Furthermore, in the proposed method, the remaining training data in T M − T N, which are removed by the sampling, can be used for estimating γ l (l=0,1,⋯,L) in Equation 8. Fortunately, by using these remaining data, we can improve the performance of the error degree estimation based on the multiple kernel scheme.

We also observe significant correlations between the performance of the node degree classifier and the discrepancy in term prevalence.

Therefore, we use them and verify the estimation performance of the error degrees, and the best result of γ is determined by an exhaustive search.

The first scheme provides performance guarantees by design, in the sense that it allows the user to select a desired suboptimal level of performance, where the degree of suboptimality provides a trade-off between the guaranteed closed-loop control performance on the one hand and the utilization of (communication/actuation) resources on the other hand.

Indeed, variables that appear to have a positive effect in terms of enhancement of physician performance are "the degree of active learning opportunities, learning delivered in a longitudinal or sequenced manner and the provision of enabling methods to facilitate implementation in the practice setting" [ 31].

Successful recognition of the shape required integration of the information provided by each subset, and the level of performance reflected the degree to which that information was useful.

This directly translates into the fact that at a given level of cognitive performance the degree of biomarker abnormality is generally higher in subjects with greater cognitive reserve.

However, there are also a number of features of ANN applications that are user-defined: ANN designs; the number of training epochs used; the training function employed; the method of performance assessment; and the degree of deterioration for each engine-component's performance parameter.