Sentence examples for preference probability from inspiring English sources

Using these parameters, path preference probability is calculated.

To avoid this, the path preference probability of the chosen paths is checked periodically.

Path with higher path preference probability between source and destination is selected for transmitting data.

Later values for these parameters are refined to check their influence on path preference probability.

This may increase path preference probability of paths with higher delays.

This will lead to the selection of other possible paths which may have higher path preference probability.

The posterior estimations of model parameters, visual preference probabilities and inferred satisfaction utility functions were investigated and compared, with results reflecting the different characteristics of the subjects.

In the following tables from 4, 5, and 6, we show the result for similar experiments where we just change the preference probabilities.

For each sequence, the PSNR is computed as the average over the views weighted by the preference probabilities as shown in the panel.

In conclusion, even when the preference probabilities are not very precisely estimated, the proposed technique can provide better performance than the reference ones, provided that the estimated preferences are not much worse than the implicit estimation of EWNC.

For each sequence, the PSNR is computed as the average over the views weighted by the preference probabilities as shown in the panel Fig. 11 Comparison of the average PSNR of the decoded sequences (4 sources, 75%% probability of the receiver displaying the central view).