Sentence examples for optimizing probabilities from inspiring English sources

Second, the simulated annealing procedure could be improved by optimizing probabilities of individual moves or devising new types of moves.

To this end, we developed a Genetic Algorithm tool and applied it to optimize probability maps of deforestation generated from the Weights of Evidence method for 12 case-study sites in the Brazilian Amazon.

We use the example of optimizing a probability based broadcasting scheme under CAM to illustrate algorithm optimization based on the defined models.

By optimizing this probability distribution function, it is shown in [8] that the throughput of the framed slotted ALOHA can be even further improved.

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.

For the run-time testing, we design a new coarse-to-fine, two-stage segmentation strategy: subregions of a vertebra first deform together as a group; then vertebra mesh vertices in a smaller neighborhood move group-wise to progressively drive the deformable model towards edge response maps by optimizing a probability cost function.

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.

When optimizing the emission probabilities for a minimal combined error, emission probabilities should be chosen according to the expected error rate in the real sequencing data.

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).

We obtain the maximum throughput by jointly optimizing the transmission probabilities (p and p c ) and the target SINR.

We also propose a sequence optimization strategy, based on the approach in [22], which maximizes the achievable rate by optimizing the transition probabilities of a Markov source model.