Despite this, Macron and his government have helped fast-track a bill granting the Minister of Interior and Prefects – the state's local representatives – powers to impose measures, very similar to the current exceptional measures, on vague grounds and with limited judicial oversight.
In all these activities the representative power of words is subservient to their practical import.
There has been no shortage of innovators, from Chuck Berry to Jimi Hendrix to Bob Mould, and "It Might Get Loud," rather than surveying the whole field, assembles a representative power trio made up of Jimmy Page of Led Zeppelin, the Edge of U2 and Jack White, most famously of the White Stripes.
One is the variance of the parameter that reflects its representative power.
In Table 1, the performances of some representative power and SNR features for varying SNR are compared.
This chapter first presents a short review of deep learning with neural networks, starting with a discussion on the suitability of their design, and their representative power achieved through back-propagation learning.
Presented in this paper is an alternative approach to derive the patterned-channel-age model where an optimization algorithm is utilized to find patterns which produce representative power distributions in the core.
An alternative approach called DERMAGA (DistributEd RandoM Age generator using Genetic Algorithm) has been developed to derive the patterned-channel-age model where an optimization algorithm is utilized to find patterns which produce representative power distributions in the core.
The experiment was initially conceived in the RC1-TRIGA reactor located at the ENEA Center of CASACCIA (Rome, Italy) to demonstrate the feasibility of the accelerator driven system (ADS) concept at a representative power.
Their pressure resulted in a variety of elections, based on different voting qualifications, such as the Prussian three-class franchise, which granted to some electoral groups — chiefly the wealthier, landed ones — greater representative power.
Function prediction tools require positive and negative training data and the success of the resulting classifier relies on the representative power of this dataset.
