Sentence examples for by computing the distributions from inspiring English sources

We verified this by computing the distributions of the Euclidean distance between neighbouring frames and frames taken at random time distances of >20 frames in a set of 100 randomly selected utterances.

We tested reliability by computing the distributions across voxels of the coefficients of correlation between the response curves for the first and second experimental runs.

For very specific c.d.f., this problem can be overcome by computing the distribution of KS ( 1 ) (see [27] for exponential and Gaussian cases).

Characterization of local micromixing intensities is presented by computing the distribution of intermaterial area density and striation thickness distribution (STD) from the stretching field.

We also validated our results by computing the distribution of migrations by distance migrated and found that by using this sub-tribal method of spatial units definition in modeling human mobility we were able to improve the accuracy of the models so drastically, that the Ivory Coast performed even better than its developed country-counterpart, Portugal.

The significance of LS and KS was evaluated by computing the distribution of these statistics in a random sampling of 1,000 times [ 46].

We normalized ChIP-seq coverage by computing the distribution of pile-up coverage on 50-bp bins and transforming each coverage value v into −log10 1-quantile vv)).

The spectrum of eigenvalues could now be analyzed statistically to find those components that significantly differ from unity, for example by computing the distribution of eigenvalues for temporally shuffled spike trains (Rust et al. 2005; Schwartz et al. 2006).

We subsequently computed the z-scores of SFC values in each block (Jarvis and Mitra, 2001) by computing the distribution of coherence under null hypothesis given the number of degrees of freedom (i.e. the number of spikes * number of tapers), then calculating how many standard deviations the observed coherence differs from zero.

The robustness of this observation was tested by computing the distribution of diversity for ten randomly chosen same sized random subset (SSRS) of 113 publicly available whole genomes of swine H1 isolates and comparing it with the distribution of diversity for swine H1 FRIs (Fig.  3c).

In other words, if we start with a set of logically consistent prior distributions over variables in a graph, we can gain information by computing the joint distribution over all variables, because consistent parts of the random graph reinforce one another and make the reconciled marginal distribution sharper (more informative).