Exact(2)
In the current study, we compare several systematic and random methods for calibration plot selection, with the specific aim that they be used in LiDAR based regression models for forest parameters, especially above-ground biomass.
While random methods for library design can be successful, intelligent searching of the sequence space, as per the title of this review, does not include purely random methods.
Similar(58)
The lifetimes of the proposed algorithm and the random method shown in Figure 3 indicate that the proposed algorithm has longer lifetime than the random method for all the groups.
This article has suggested a random method for the temporal analysis of aoristic crime and has demonstrated the relative ability of several methods to estimate the most common offence times for one type of aoristic crime.
Although the M-Clus method offered a slightly better performance than the random method for Mus musculus and Rattus norvegicus, it requires greater computational time than other methods for clustering all sequences in the training file.
Any sort of random method for determining which team goes first is fair game — you can also try rolling for the highest dice roll, guessing a number that a non-biased referee is thinking of, etc.
Individual sample sizes ranged from 10too 905 participants (median 81 participants); 2.3% of the RCTs were multiple center trials; 63.9% evaluated Western medicine, 32.5% evaluated traditional Chinese medicine; 15% used an adequate method of random sequence generation; and 10.4% used a quasi-random method for randomization.
15 Types of studies—We included any studies that allocated individual women or clusters of women by a random or a quasi-random method (for example, alternate allocation) to a screening intervention compared with usual care (or in a trial with a condition when clinicians were not aware of women's screening results).
We arrive at a classification of random access methods for networked control systems and identify a structure for each method.
This chapter provides an overview of the use of random search methods for optimizing system performance via simulation.
Adaptive random search methods for the simulation optimization problem, which can maintain balance among exploration, exploitation, and estimation, are more effective [30, 31].
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