Sentence examples for explained as sets from inspiring English sources

Recall that according to the first theory space-time consists of unextended spatiotemporal points and regions of space-time were to be explained as sets of these points whilst according to the second space-time consists of extended spatiotemporal regions and points were merely logical constructions, identifiable with convergent sets of regions.

The Ukrainian affection for sour cherries and tea, the server explained as he set down a pot, can be indulged by spooning the first into the second, or by nibbling the one and sipping the other.

She gave her interpretation of "genre," which she explained as a set of characteristics or limitations that identify a sound category, or a mold you work around.

"People have been making cheese here for the last 300 years," she explains as she sets to work on the mountain of cheeses stacked around her. "We're just pleased to carry on that tradition.

The point of all this, Ms. Brisbane-Baird explained as the children sat around a set dinner table and learned what flatware to use for what courses, was not only to teach them how to conduct themselves on the proper dates they should expect to have, but also to show them what to do when they were out in the world looking for a job.

This low occurrence of non-coding clones in the differentially regulated set can be explained as follows.

Spurious associations of taxa from analyses of the expanded cytb data set may be explained as attraction between non-overlapping 5-prime and 3-prime partial sequences (e.g., 5-prime sequence for Sterna and 3-prime sequence for jacanids).

This is a particularly important and challenging question as on the one hand, any behaviour can be explained as optimal Bayesian inference given some set of priors and utility function; while some behaviours are undoubtedly the result of what we may call 'broken' active inference.

This is explained as follows.

As a way of determining the likelihood of obtaining models that explain such a large fraction of variance by chance, we compare the machine learning L1-regularized regression procedure with random permutations of six and seven genes to determine what fraction of randomly generated data sets would explain as large or larger a fraction of birth weight variance as the L1 procedure.

As a result, a small number of PCs explain as much of the variance in the data set as possible.