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Furthermore, we show that the regularization parameter can be optimized in a unified framework with the kernel, which leads to an automatic process for model selection.
Musk and CTO JB Straubel also noted that the production process for Model 3 is actually vastly superior and simpler compared to the Model S and X, but clarified that the reason it's been more difficult thus far is that it's incredibly automated.
In industrial process control engineering, using routine operating data obtained from closed-loop operation of a process for model identification would be extremely valuable in applications such as control performance monitoring, root cause diagnosis, and controller retuning.
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Figure 1 Two-state Markov process for modeling the typical bursty nature of the impulse noise.
This chapter presents examples that demonstrate a tiered process for modeling rice in the US.
In this paper, we propose a process for modeling robots and optimizing their structure.
These criteria suggest the kinetic sorption process for modeling reactive transport of neptunium and uranium transport in both fracture and matrix.
To model the nonlinear nature of damage process, the paper proposes the use of non-homogeneous Poisson process for damage increments, which is in contrast with the common use of a renewal process for modeling the damage.
In this study, we describe a generalized birth-death process for modeling the fates of gene duplication.
These differences in the hazard functions between models have to be taken into account when using a birth death process for modeling duplicate retention.
There is also an applied study of marked point process for modeling the occurrence of regulatory elements (Carstensen et al., 2010); however, this is a limited application for the analysis of specific regions of genome.
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