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The weight is selected as a nondecreasing function of the total information content in the sequence such that (14) w (x ~ i ) = dim (x ~ i ) 2, where dim (x ~ i ) gives the dimension of x ~ i. Different weight functions could be employed to exploit the distribution of missing sites.
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The deterministic construction of folds is performed using unsupervised stratification by exploiting the distribution of instances in the instance space.
It is a widely accepted hypothesis that the fingerprint modality does not contain a sufficient amount of effective entropy to resist attacks exploiting the distribution of fingerprint features, specifically false-accept attacks.
These assumptions included varying the time period over which the territories are maintained, the number of different resource types exploited, the distribution of patch richness, and the relationship between the mean and variance of a territory's yield.
On the other hand, some research works [22, 23] also have shown that it is possible to discriminate between texture patterns using pixel neighborhoods as small as 3×3 pixel region, which demonstrated that despite the global structure of the images, very good discrimination could be achieved by exploiting the distributions of such pixel neighborhoods.
Therefore, tests covering the first two moments fully exploit the distributions' characteristics.
The methods mentioned above exploit the energy distribution of target HRRPs while not exploiting the waveform characteristics.
To deal with endogenous urban scale, I utilize a quasi-experimental design where I exploit the spatial distribution of mineral resources using Norwegian mines from the 12th to the 19th centuries.
In this paper, we propose to exploit the nonuniform distribution of X-bits toptimizeze test response compactors such that a higher compression rate is achieved with lower hardware overhead.
Moreover, instead of using rules based on p it, which are marginal posterior probabilities for each i, t, we could investigate how to exploit the joint distribution of the allocations z i = (z i1,..., z iT)′.
We solve this problem by calculating a priori how many synapses will be created locally on each process, exploiting that the distribution of synapses over processes is multinomial.
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