Sentence examples for successive decisions from inspiring English sources

Since the European court of human rights (ECHR) in Strasbourg first began handing down judgments in 1960, successive decisions have transformed the legal landscape of the United Kingdom.

"We are rapidly iterating" – "We are making successive decisions about our product that assume less and less with each cycle, until…".

We argue that this competence involves serial chains of successive decisions, each based on the accumulation of evidence up to a threshold and forwarding the result to the subsequent step.

The Directive 8/2004/EC, and a few successive Decisions of the European Commission, introduced a methodology to establish whether any cogeneration plant, existing or new, can be acknowledged as a high-efficiency CHP plant, and can therefore be supported from the UE member states.

A GOP compliant Supreme Court sealed the deal with its successive decisions that virtually gave free license for GOP influenced PACs, special interest groups and individuals to go on a wild campaign spending spree largely free of transparency and accountability.

Since the sample interval is much smaller in the field tests compared to the time between successive decision epochs, we average the measured SNR between successive decision epochs.

Each simulation stops if the increments over several successive decision epochs blow a small threshold (10−5), i.e., the simulation length is finite.

Referring to Figure 4, the sequence T = {1,2,…,Q} represents the time of successive decision epochs, and the random variable Q denotes the time that the connection terminates.

end{array} (26) Each simulation stops if the increments over several successive decision epochs blow a small threshold (10−5), i.e., the simulation length is finite.

The random variable N, which depends on the AP deployment space, train speed and the time between successive decision epochs, is assumed to be geometrically distributed with mean 1/(1 − λ).

where r(s(t),a(t)) is the reward function, E s ( 0 ) Π denotes the expectation with respect to policy Π and initial state s(0), and E N denotes the expectation with respect to random number N. The sequence T = {1,2,…,N} represents the times of successive decision epochs.