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Connectedness between the reference populations and evaluated animals was calculated using the prediction error variance.
Black-box modeling using the prediction error method (PEM) was selected as the identification method.
The transfer function matrix of the system is identified using the prediction error (PE) identification method with multivariable ARX model.
The rates of genetic gain were determined using the prediction error variance covariance matrix of the traits included into the best linear prediction of breeding values.
Consider the problem of identifying a linear system using the prediction error method, where Φ eiω) is the ratio of the input power spectral density to the noise power spectral density.
Embed a bit into the prediction error value using the prediction error expansion and histogram shift method.
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Using the motion vector information of frame n, the positions of its various pixels are found in the frame n−1 and their exact values are found using the prediction errors of the frame n by just subtracting them from their values in the frame n.
These input sequences exploit the third-order Volterra model structure and use the prediction error variance expression as a measure of model fidelity.
The algorithm uses the prediction error to refine the weights of each expert's contribution to the prediction; the updated weights are used in the next iteration of the algorithm.
More specifically, when all the genes on the microarrays are used, the prediction error is significant.
Note that in Equations 1 to 5, the index l is used for referring to the l th meteorological element F l. Furthermore, in order to use the prediction errors that are propagated from neighboring areas to the target area based on atmospheric movements, motion vectors representing atmospheric movements between time t−Δ t and time t are obtained by using observed wind velocities for each area.
More suggestions(15)
using the prediction tool
using the prediction analysis
using the phase error
using the prediction system
using the prediction framework
using the prediction algorithm
using the prediction risk
using the prediction criterion
using the prediction step
using the prediction equation
using the prediction service
using the prediction logic
using the prediction server
using the vector error
using the test error
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com