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Secondly, three different networks are trained corresponding to three different zones using combined dataset of seven wells and then trained networks are validated using the remaining test well.
Using these feature matrices, three separate HMM models are trained corresponding to the three target classes: expiratory phases, inspiratory phases, and residual.
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Building on relatively recent results in RMT, most notably its extension to Universality classes of Heavy-Tailed matrices, and applying them to these empirical results, we develop a theory to identify 5+1 Phases of Training, corresponding to increasing amounts of implicit self-regularization.
Some other wave trains corresponding to different apparent velocities are also observed before and after the arrival of the largest wave.
Increased training corresponding to a broader scope of work and, in particular, having more curative tasks may too increase motivation, service delivery time and time spent working [ 12].
Subsequently, six mathematical models using heart rate reserve (HRR) and age-predicted HRMax formulas were studied to estimate the intensity level of exercise training corresponding to heart rate at anaerobic threshold (HRAT) obtained by spiroergometry.
In total, 47 spots and spot-trains, corresponding to 30 previously identified proteins in human BALF, showed no significant variation between SScFib+ patients and SScFib- patients, whereas 24 spots showed a reproducible significant variation in the two study groups.
Loss of body fat in middle-aged men was in the range of 1 3 kg following 3 months of training, corresponding to a reduction in fat percentage of 1 3%.
To overcome this limitation, Wiskott et al. [9] trained graphs corresponding to profile, half-profile and frontal faces.
This key observation allows us to apply tensor decomposition methods to jointly retrieve the estimates of CFO and the MUI-free received training symbol corresponding to each user.
In this paper, two environment-dependent DAEs are proposed to reduce the influence of mismatches between training and test environments, that is, DAEs are trained and used corresponding to the different environments.
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