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A sensor placement optimization problem is then formulated based on the Bayesian calibration to maximize the expected information gain measured by the expected Kullback Leibler (K L) divergence.
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This perspectives paper uses archived experimental data to consider aspects of data collection and experiment design for the calibration data to maximize the quality of the predicted Ys in the forward models; that is, we assume that well-estimated forward models are effective in the inverse problem.
With this in mind, a patent-pending (US 61/859,819) architecture for software-assisted calibration was developed to maximize practicality, flexibility, and ease-of-use.
Ideally this object should fill the majority of the image area to maximize the accuracy of the calibration.
We include as many fossil calibration points as possible in disparate parts of the avian tree to maximize information from the fossil record, and reduce dependency on any one calibration estimate.
PDUS calibrations were adjusted at the lowest permissible pulse-repetition frequency to maximize sensitivity (500 to 800 Hz).
Gneiting and Raftery [ 33] contend that the goal of probabilistic forecasting is to maximize the sharpness of the predictive distributions subject to calibration.
In the statistical calibration, an optimization technique is integrated with the eigenvector dimension reduction (EDR) method to maximize the likelihood function while determining the unknown model variables.
Such a calibration plot could be useful for investigators wishing to quench the enzymatic digestion to maximize the yield of product with a desired size distribution.
Calibration experiment design optimization (CEDO) seeks to identify the optimal values of experimental inputs in order to maximize the obtained information within testing budget constraints.
Nolan and his team have built custom instrumentation designed to maximize light generation and detection, and coupled it with exceptionally bright fluorophores, protocols, and calibration standards.
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