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Danovaro et al. [11] illustrated this specifically for benthic biodiversity in the deep sea where ecosystem function and diversity are exponentially correlated, implying an exponential loss in function with decreasing biodiversity.
The spatial sampling probabilities are computed by using a normalized exponential loss function.
An exponential loss function is used in this paper to guide the supervised learning procedure.
It shows exponential loss of [11C]species mass due to radionuclide decay.
Then the constructed structure is fine-tuned by gradient-descent based supervised learning with an exponential loss function.
In classification mode, log loss function is always the best objective function while AdaBoost will choose exponential loss.
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As described in more detail in the Additional file 1, we chose to define this in terms of exponential loss-based decoding [ 50].
In addition, we assume a typical exponential path loss law where the power path loss exponent β usually ranges between ≈1.8 and ≈ 4 [38].
Each storage has an exponential decay (loss) term and a maximum capacity.
This propagation model assumes an exponential path loss over the distance from sender to receiver [47].
The rhynchophorol adsorbed on the matrix shows an exponential mass loss behavior during storage for 180 days (Fig. 5).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com