Sentence examples for probabilities instead of from inspiring English sources

As the name suggests, it basically uses an MEME like algorithm by utilizing non-uniform prior probabilities (instead of uniform) on the probable position of the motif occurrences.

AC uses a one-dimensional table of probabilities instead of a tree.

The original model also considers treatment probabilities instead of explicit treatment strategies.

In the case of binary events this would translate into allowing answers in intervals of probabilities instead of only point probabilities (for an extended explanation see Manski 2004).

In the context of reliability analysis, a common form of available information is summarized reliability data for various mechanical components (e.g., failure rates or failure probabilities) instead of detailed actual test data.

In this regard, in this section we first set up the MPR model for the FF-NDMA protocol, which will allow us to work with conditional probabilities instead of associating collisions or erroneous receptions with deterministic failures.

Besides being somewhat simpler and requiring nearly half the number of memory accesses, we can bound our complexity with high probability instead of merely on average.

The remaining map used the same dataset, but showed a probability threshold (i.e., 25% probability), instead of an ash threshold (i.e., ≥ 1 mm ash).

In some scenarios, secondary users can exceed the required interference level with some small probability instead of staying strictly below the required level.

Analogous to the familiar confidence interval but arising from within the Bayesian statistical paradigm, a credible interval allows the investigator to make a statement such as "the nanoparticle diameter lies between 36 and 48 nm with 95% probability" instead of merely "the nanoparticle diameter is estimated to be 42 nm".

To take the effect of uncertainty in genotype calling on imputation accuracy into account, we considered the possibility of using the genotype probability instead of the most likely genotype for genomic prediction, which is expected to increase the reliability of genomic prediction [ 40].