Sentence examples for generating a test from inspiring English sources

Again the consequence of removing the actives from the Prior was a threefold reduction in the probability of generating a test set active: the difference between the two Priors is directly mirrored by their corresponding Agents.

We first investigate the sensitivity to noise level by generating a test set of 1,000 source locations for each configuration with a = 50 and signal-to-noise ratio (SNR) in the range from 20 to 80 dB by varying σ f.

For each configuration, uniform quantizers, Lloyd Q, Lloyd QEDQ, LSQ, and FLSQ are designed for R i  = 2,3,4 and evaluated by generating a test set of 1,000 source locations from p(x), the model parameters, and the source signal energy which were assumed during quantizer design.

For each of 100 different sensor configurations, we design uniform quantizers (Unif Q), Lloyd quantizers (Lloyd Q), and several novel quantizers for R i = 2,3,4 and evaluate them by generating a test set of 1000 source locations from the model parameters which were assumed during quantizer design.

inversion for generating a test-bed of 10 nodes.

Thus, if sensors that are geographically near are selected for V D, we have a higher probability of generating a testing graph D with a value of C T (D) that is reduced.

For a follow-up evaluation published this October, researchers generated a test control group of 394 people (selected from 14,000 whose criminal records closely matched those of program participants).

This paper presents a SoS sample architecture and show how to generate a test suite using Basis Path Testing analysis.

In this way, the operators and mutation score can be used to evaluate and generate a test set, that is a set of SPL products to be tested.

Our idea here is trying to perceive the cost-efficiency performance of both algorithms in a context where several different strengths are selected to generate a test suite; Low strengths.

ANOSIM generates a test statistic, R, and the magnitude of R is indicative of the degree of separation between groups, with a score of 1 indicating complete separation, and 0 indicating no separation.