Sentence examples for between data and training from inspiring English sources

We have also determined optimal power allocations of power between data and training that minimize the asymptotic BER.

Based on these results, we determine the optimal allocation of power between data and training for both schemes.

We identify efficient strategies in three resource allocation problems: (1) power allocation between data and training symbols, (2) time/bandwidth allocation to the relay, and (3) power allocation between the source and relay in the presence of total power constraints.

power allocation between data and training symbols, time/bandwidth allocation to the relay, power allocation between the source and relay if there is a total power constraint in the system.

To the best of the authors' knowledge, estimation techniques considering inter symbol interference between data and training symbols, as well as training sequence design, have not yet been developed.

We consider three types of resource allocation problems: (a) power allocation between data and training symbols,   (b) time/bandwidth allocation to the relay,   (c) power allocation between the source and relay if there is a total power constraint in the system.

And the test data is the set difference between original data and training data.

We also want to include KEGG PATHWAY PPIs that have already been incorporated in STRING; however, such information is mixed with and cannot be separated from other data sources in the 'database' category, including GO, which we do not want to include so as to avoid possible overlapping between test data and training data in our function prediction evaluation framework.

In [22], under the assumption of fixed power allocation between data transmission and training, Patel and Stüber analyzed the performance of linear MMSE estimation in relay channels.

The Fisher similarity score was then computed between each test data and training data.

Figure 20a shows the normalized absolute average error of training data per normalized forecasting length (h). Figure 20b shows the divergence between training data and network training data.