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Since the graph for the SSSP algorithm are directed and weighted, and the ClueWeb Category B graph is not originally weighted, we assigned random weight to each edge in the graph.
For the bootstrap resamples, each sample within a cohort was assigned a random weight chosen from the Bayesian bootstrap distribution [ 62] and weighted rankings across samples within each cohort were computed.
The NN training used random weight initialization, and variations in the final NN were not unexpected.
In this idealization the vehicles are regarded as being of random weight and traveling with the same constant speed.
This paper designs a novel human face recognition method, which is mainly based on a new feature extraction method and an efficient classifier – random weight network (RWN).
Three vacuum-packaged, random weight (~300 g) retail samples of naturally smoked Cheddar cheese, produced from the same vat of cheese, were obtained from a retail source.
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By using the weighted sum method with random weights, we show that the proposed multi-objective flower algorithm can accurately find the Pareto fronts for a set of test functions.
Selection of the random weights. 5.
For the random scheme, 600 random weighting factors are compared.
Random weighting estimation for ( {mathcal{G}}_I^0 ) distribution.
Learning starts with the assignment of random weights.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com