Sentence examples for simulated test data from inspiring English sources

We analyzed the behavior of the true positive and false positive rates with independent, simulated test data.

INDUS algorithm was validated by querying test sequences (constituting four simulated test data sets) against a reference database that was appropriately 'modified' to simulate realistic metagenomic scenarios.

The clean-condition training data are taken from the WSJCAM0 [47] corpus, while the multi-condition training data is artificially generated by corrupting the clean-condition training data in a similar way as the generation of simulated test data.

In the speech recognition task, there are two training schemes, i.e., (1) the clean-condition scheme in which only clean data is available for training the acoustic model; (2) multi-condition training scheme in which reverberant and noisy speech with similar characteristics as the simulated test data are available for training.

This produced simulated test data with varying information rates that could readily be computed.

Posterior probabilities of each competing scenario were estimated for each simulated test data set using the 0.1% closest data sets.

The first approach contains two methods of data reduction (by Dixon and Mood as well as that by Zhang and Kececioglu) based on simulated staircase test data.

For each ε ∈ {0.001, 0.01, 0.1}, we simulated 500 test data sets with parameter values sampled from the prior distributions and then inferred the posterior distribution for each set.

For each scenario, we first simulated five test data sets and checked convergence of all treatment effect parameters and between-trial variance parameters using the Gelman Rubin convergence diagnostics.

The results on the simulated data, test rig data, and industrial gearbox data show that the proposed method is superior to the traditional HHT in feature extraction and can produce a more accurate time frequency distribution for the inspected signal.

The results and the comparison between the SRE and COL methods are presented using the simulated and road test data.