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We represent the disjoint union of the intervals (J_{j}) by J as a total parameter domain.
The total parameter domain J is the disjoint union of the intervals J j, j = 1, 2, …, m.
Since the total parameter space in our cortical oscillation model is too big for exhaustive simulations (for example, for hypothesis 5 and K = 5, Ptotal = 514 = 6,103,515,625), we randomly picked 4*106 weight combinations, see column 4 in Table 1.
Each alternation of the reference system was characterized by the total parameter variation δK, which was introduced [60] as: <img src="http://journals.plos.org/plosone/article/asset?id=info?doi/10.1371/journal.pone.0002772.e004.PNG" class= inline-graphic"/>, where Kj→i' is parameter in the altered system.
Following the previous studies, here the output robustness is calculated against the total parameter variation (TPV) where TPV represents the set of parameters that are subjected to random variations [ 8, 12, 23].
An analysis of the total parameter space, and of the fitnesses of the PV ribozyme under study within that space, provides an opportunity to quantify interpretive behaviour of the ribozyme.
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We study the effects of parameters like model size (number of layers, total parameters), architecture (convolutional networks), and training details (loss function, regularization methods) on DNN classifier performance and speech recognizer word error rates.
Reported 125 of the 1458 total parameters.
A mass scale of around ~0.01 eV appears to fit the data best, and four total parameters are required to understand neutrino properties.
Of the total parameters measured 76.1% are related to these three organs.
Total parameters considered = 3 (Average standstill distance (ax), additive part of safety distance (bx_add), multiplicative part of safety distance, bx_mult).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com