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Average coding time reduction was calculated by measuring the running time when applying a prediction architecture (A) compared to corresponding time from another prediction architecture (B).
This is a crucial requirement especially when applying a prediction algorithm to finding functional non-coding RNAs in genome sequences.
Applying a prediction model to individuals whose distributions of characteristics or measurements (e.g. predictors and test results) outside the range of those used in model development is a form of extrapolation and may compromise a model's performance.
CV can be used in the process of obtaining an adequate prediction rule when no external data is available, but before ultimately applying a prediction rule in medical practice it must be externally validated [ 25, 26].
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In addition, we propose a new scheduling policy, called Predictive Cost-Based Scheduling (PCS), which applies a prediction algorithm to predict future scheduling decisions and then uses the prediction results to potentially alter its current scheduling decisions.
We applied a prediction equation to calculate predicted FEV1 values for each patient [ 9].
In the prediction step, we apply a prediction operator P on al+1to predict dl+1.
Here, we apply a prediction model developed for the Leonid storms to the evolution of dust ejected from comet C/1854 L1 (Klinkerfues) in an effort to determine whether the 1981 outburst of ε-Eridanids may have been caused by this comet, and if so to predict future returns.
However, it does not take into account wireless link quality and delay impact that makes it difficult to apply a prediction based scheduling algorithm.
To achieve the future RSS values of the signals of neighboring transmitters, we use the saved RSS values and apply a prediction method described in [29].
Given a motion model p ( x t | x t − 1, x ̇ t ) and a sensing model p z t |x t ), we recursively apply a prediction phase where we incorporate motion to update the state and an update phase where the sensing data is used to compute the state's posterior distribution.
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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