The phrase "augmented random" is not a standard expression in written English, but it can be used in specific contexts, particularly in technical or academic discussions related to algorithms or data processing.
You can use it when discussing concepts that involve enhancing randomness or incorporating random elements into augmented processes or systems.
Example: "The study focused on augmented random sampling techniques to improve the efficiency of data collection."
Alternatives: "enhanced randomness" or "improved stochastic".
We denote such augmented addition heuristics as random augmented addition ((mathsf {RA+})), nearest augmented addition ((mathsf {NA+})) and furthest augmented addition ((mathsf {FA+})).
Aging is characterized by augmented entropy, in which random and stochastic episodes not genetically controlled result in biologically defective molecules.
In Algorithm 2, randEgde returns a random edge from the augmented Set and edgeScore returns the likelihood of the augmented edge.
The exploitation of HSIPM transforms the problem of topology optimization with interval random parameters into an augmented deterministic topology optimization problem.
This series representation presents two remarkable properties: the deterministic coefficients have the same structure as the augmented vector q(t) and the scalar random coefficients are real-valued and uncorrelated.
Finally, the resulting augmented system is modeled as an uncertain Markovian system with multiple random variables.
The standard errors of the regional estimates for the BLA and states within the BLA obtained from the augmented stratified design were generally smaller than those attained by simple random sampling and systematic sampling.
EAC members were reminded of the importance of random arrival arrivals at Post (effective June 25) along with other augmented security measures.
A new autonomous celestial navigation method for the lunar rover is presented in this paper, which uses the augmented state unscented particle filter (ASUPF) to deal with the systematic error and random error in the measurements.
It would make sense that our approach automatically made an entropy adjustment, because the random mutations would tend to 'smooth out' the information across the (augmented) training set.
