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An overview of HSMMs is presented in this paper, including modelling, inference, estimation, implementation and applications.
In this paper, GPGPU techniques are used to make a parallel recursive Bayesian estimation implementation using particle filters.
Recently, Hendeby et al. [14] used General-Purpose Computing on Graphics Processing Unit techniques to make a parallel recursive Bayesian estimation implementation using PFs.
For each gene, first, the overall mean mRNA level was calculated and a linear regression was performed of transcript level against specific growth rate, employing data from all four conditions and using the maximum likelihood estimation implementation in R [ 75].
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Figure 8 Power estimation Library. Figure 9 Power estimator implementation.
Finally, an estimate strategy and an on-line estimation system implementation scheme utilizing battery management system are presented to describe the engineering value.
Hypothetically, we are therefore confronted with a paradox: while it is likely that poor adherence or nonadherence contributed to a lower overall estimation of implementation fidelity, it could at the same time have improved actual implementation of the geriatric care model in the real world.
Now we discuss the computational complexity of the three methods (the least-squares method, the single-filter structure method, and the CAPZ method) from two aspects: crosstalk cancellation filter estimation and implementation.
A fundamental aspect for the specification, calibration (parameter estimation) and implementation of a system of activity-based models is a properly designed database which can describe the observed pattern of urban travel mobility.
It is therefore difficult to use these cases for an estimation of implementation costs of a future REDD system.
Apart from the estimation accuracy, implementation of the estimation model in a device for clinical or healthcare use is the ultimate goal.
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