Sentence examples for preferred framework from inspiring English sources
He made the case that languages, like his CoffeeScript, belong in Web developers' utility belts along with their preferred framework, (Rails, Django, etc).
Just because classical and intuitionistic mathematics strike her as equally good, Trudy dithers between choosing one of them as her preferred framework.
The chapter explains, after a consideration of alternatives such as archival terroir, why Tom Nesmith's articulation of societal provenance is the preferred framework for a focus on the distinctiveness of the Australian archives and records landscape.
A panel of the Canadian Academy of Health Sciences (CAHS) built on the Payback Framework to recommend ' A preferred framework and indicators to measure returns on investment in health research' [ 35].
Emphasis on the ABC (abstinence, be faithful, use condoms) approach as a preferred framework for HIV/AIDS prevention programming neglects issues of power and abuse that preclude many people (especially women) from being able to make their own decisions to use ABC.
Feminists are interested in promoting women's agency, so they tend to prefer frameworks that permit the representation of women as agents.
Further, SSR markers were always preferred as framework markers for developing consensus linkage map, composite integrated linkage map and comparative map between the species (Garcia et al. [2011]; Hudson et al. [2012]).
MXNet, Amazon Web Services' preferred deep learning framework, was accepted to the Apache Incubator today.
This result suggested that reassortment rates estimated with discrete trait models on the MCMC-based Bayesian framework were preferred.
It is for this reason that discrete-time methods, using years as the time variable, are preferred in the multilevel framework.
In many situations, as long as the sample sizes are reasonably large (n = 50 or more), our previous methods of moment estimation and maximum likelihood are still preferred in the Bayesian framework for the estimations of mean and variance.
