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We propose a new norm based on the way we quantify tracking performance as a function of saturation errors found using the same norm.
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On EU theory, every rational agent must use the same norm, a norm that is insensitive to global properties.
Using the same methods, and by Lemmas 2.7 and 2.8, we can estimate Lipschitz norm and BMO norm of Green's operator in terms of norm.
To evaluate the repeatability of the assay, independent tests were performed with the same protocol, with the same samples, by the same operator using the same apparatus within a short interval of time (ISO 3534 1 norm 1993).
Norms collected in each study were all provided using the same sample of subjects and thus subject to possible synergistic influences across the different dimensions being rated.
This was achieved using a minimum norm source localization of the individual participant preprocessed MEG signals using the same parameters described above.
To evaluate the reproducibility of the assays (ISO 3534 1 norm 1993), independent tests were performed with the same protocol, using the same samples, in two different laboratories, by two different operators using different apparatus (Bio-Rad iQ5 and ABI 7300).
Using the same process, continue.
Computationally, the LAD-aFL estimator can be computed by transform to a unpenalized LAD regression, since both the loss and penalty functions use the same l1 norm.
For the sake of convenience, we shall use the same notation to denote the norms in and.
We will use the same symbol ∥ ⋅ ∥ to represent the norms on a normed algebra A and a normed left A -module ℳ.
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