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Under the fundamental theorem of SVMs, the sequential labeling problem can be formalized as the following optimization problem: given a training dataset of m independent identically distributed samples S, drawn from a fixed distribution D X×Y.
We do not assume a fixed distribution of available paths.
A model for the optimum design of a compressor stage, assuming a fixed distribution of axial velocities, is presented.
The results show that the performance of ISAT with a fixed distribution strategy strongly depends on certain computational regimes, based on how much memory is available and how much overlap exists between tabulated information on different processors.
However, if p increases, the G p s converge to a fixed distribution, which is different from H p. This difference is due to the bias in the eigenvalue estimates.
Dish receivers and micro-tracking Fresnel concentrators, such as the heliostat field in a central receiver design, may provide a fixed distribution of incidence angles across the receiver surface so that the filter can be spatially optimised for a defined angular and energy flux distribution pattern.
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In this paper, to test goodness of fit to any fixed distribution of errors in multivariate linear models, we consider a weighted integral of the squared modulus of the difference between the empirical characteristic function of the residuals and the characteristic function under the null hypothesis.
It is known that for a fixed dispersion, a negative binomial distribution can be placed in a generalized linear model framework.
Furthermore, it is difficult to represent the original HR frame x (i) by using a simple fixed distribution, and we have to model it by using a distribution whose shape can adaptively be determined for each area based on its parameters β (i).
One was a fixed point distribution linked to the commissioned agents who received 25% commission per voucher.
Given a fixed size distribution of PSFs, large MACHOS are less frequently overlapped to this extent, and this is reflected in the relatively large number (1003) of PSFs that do not overlap a MACHOS by ≥50% at I=1.2 (Table 2).
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com