Sentence examples for measuring the conditional from inspiring English sources

Here, each node represents a domain and the directed edge contains the transferred weight measuring the conditional dependence from one domain to another.

As for parameter δ1 which serves to measure the conditional volatility persistence, its estimators prove to be significant.

It therefore measures the conditional probability that an individual who is still unemployed after 1 year remains unemployed for 12 more months.

A combination of PIV/OH laser induced fluorescence technique is used to measure the conditional – burned and unburned – gas velocity in a turbulent premixed CH4/air annular bluff-body stabilized burner.

Let us start by defining the window where we can measure the conditional response to a external stimulation.

Here support measures the joint probability of +1geneA and the phenotype, while confidence measures the conditional probability of observing the phenotype given +1geneA.

Unlike pairwise correlation, partial correlation measures the conditional dependency between two taxa given the effect of rest taxa being removed or fixed.

Each extracted rule has an associated confidence that measures the conditional probability that if the left hand side of the rule was true, the right hand side is also true.

The rule has confidence of 0.998 (that measures the conditional probability that if the left hand side of the rule was true, the right hand side is also true), the support of 0.0038 (so it describes 0.38% of the training data) and a lift of 1.29.

However, high-order (partial) correlation has the advantage over pairwise correlation, because it measures the conditional dependency between two taxa given the effect of other taxa being removed or fixed, and reflects direct correlation between taxa and excludes the between-taxon dependency due to other taxa.

One can measure the conditional probability that a record in the voter registration list is unique given that it is unique in the original data set by [ 54]: (1) λ 1 = ∑ i I f i = 1, F i = 1 ∑ i I f i = 1 where I is the indicator function.