Sentence examples for weighting of the contribution from inspiring English sources

Exact(1)

However, one of the reviewers felt that it would be nice to expand on the population decoding, and discuss the fact that they have not considered population models that do not simply sum activities (e.g.,, those with optimal weighting of the contribution of each cell) and network nonlinearities useful for marginalization of task-irrelevant information like divisive normalization.

Similar(59)

Parameters a and b in the equations above determine the weight of the contribution of each component to the final suspiciousness score.

For each of the two groups of species, we calculated a multi-species population index from population indices for individual species, with the weight of the contribution of each species to the index being its absolute value of CLIMEns.

In equation (2), w j denotes the weight of the contribution of type attribute T j of the PPIs, and weight(e i) is the weight of ei.

Here ω α is the time independent weight of transcription pattern α while P αT is the fractional weight of the contribution of pattern α at time T. (The fractional weights sums up to unity as ).

The momentum of the particle is controlled by the inertia weight through weighting the contribution of the previous velocity, namely controlling how much memory of the previous particle direction will influence the new velocity.

It said future funding guidelines "give weighting to the contribution and effectiveness of Aboriginal and Torres Strait Islander organisations to provide to their community beyond the service they are directly contracted to provide".

In the presence of events with unknown process affiliation in the network, we assign weights to the contribution of each event to the log-likelihood function.

For our purposes clusters correspond to pathways, assuming equal weights for the contribution of a gene to all its member pathways.

We set the weighting factor to 2.0 (option struct-weight=200) and the weighting of the sequence contribution τ(T i, T j ; Q k, Q l ) in the structure score component to 4.0 (option tau=400).

Testing for the improvement of the extended similarity compared to the baseline similarity, on average, for a given data set, we find the following numbers of wins and losses for a fixed α coefficient of 0.3 weighting the contribution of the extension of the similarity measure in Table 11 (MCS vs MCS ext, approach B2): 8:2 (at 1%), 7 3 (at 5%), 8 2 (at 10%).

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