Sentence examples for optimize the probability from inspiring English sources

Tay et al.[15] investigate and optimize the probability that the first channel access does not collide.

Then, a single-factor evaluation matrix was constructed using the continuous grading function in order to optimize the probability distribution of the evaluation grade in the fuzzy comprehensive evaluation method.

While the current EDAs require much time in the statistical learning process as the relationships among the variables are too complicated, we employ the Selfish gene theory (SG) in this approach, as well as a Mutual Information and Entropy based Cluster (MIEC) model is also set to optimize the probability distribution of the virtual population.

Finally, based on our model estimates we were able to determine the required number of eggs to count for each sample size, enabling investigators to optimize the probability of correctly classifying a theoretical TDE while minimizing both financial and technical resources.

Where this gold standard validation proves elusive, these new medical simulators must be reconfigured to optimize the probability of validation.

Instead, we used region and population size as proxy indicators that we expected would optimize the probability of equivalence in baseline characteristics between study groups.

All the models used involve an inverse problem that optimizes the probability distribution function parameters by minimizing the difference between the actual and predicted direct runoff hydrographs.

Timing of reproductive events has become central in ecological studies linking success in pollination and seed dispersion to optimizing the probability and periods of encounters with pollinators or dispersers.

According to the Neyman-Pearson theorem, the detector that optimizes the probability of detection PD for given probability of false alarm PFA is provided by the likelihood ratio: f y / ℋ 1 f y / ℋ 0 ≷ ℋ 0 ℋ 1 θ (14).

For the stabilized class, we apply inverse folding into structure R optimizing the probability of R in the ensemble of the designed sequence S; for the inverse folding we apply RNAinverse in partition function mode.

To evaluate the sensitivity of our model and optimize the j probability (probability of entering the match state), we used the Viterbi algorithm to analyze a 9000bp sequence containing all 49 training sites and ∼100bp of their surrounding native genomic environment.