Sentence examples for multiple probabilities to from inspiring English sources

As a mathematician he used Bayesian search theory, crunching multiple probabilities to produce contour maps and then to pinpoint a site to within a few hundred yards.

The classification networks are equipped with the Softmax regression models and produce multiple similarity probabilities to characterize different appearances belonging to the same person.

After applying the Bonferroni correction for evaluating multiple probabilities (Bretz et al. 2010), only the projections of areas 7A and DP to area 10 were inconsistent despite a statistically very low probability of being so.

This modal setting involving multiple probabilities has generally been given a (1) stochastic interpretation, concerning different probabilities over the next states a system might transition into (Larsen and Skou 1991), and (2) a subjective interpretation, concerning different probabilities that different agents may have about a situation or each other's probabilities (Fagin and Halpern 1988).

For instance, in Figures 1 multiple probabilities of association < 10-4 areportedted.

Hence, individuals with relatively even membership probabilities to multiple clusters could either carry uninformative genotypes in relation to cluster separation or be admixed.

13 15 Consistent with this evidence, a recent study observed that statistically significant findings favouring treatment often had a multiple times higher probability to enter meta-analyses of clinical trials than other findings.

12 13 Investigators, who followed research projects from the moment of the submission of the study protocols to ethics committees and medical agencies to the publication of the results, demonstrated that statistically significant and positive results often have a multiple times higher probability to be published than other results.

If we do not use the sum of probabilities, then we have multiple probability values for each objective function.

A nomogram generated from an Australian cohort was recently published (O'Brien et al, 2011), and for multiple probability cutoffs predicting indolent PCa, they gave coexisting rates of high-risk disease.

ChIP-seq experiments yield many ambiguous tags that can be mapped with equal probability to multiple genomic sites.