Exact(2)
Using the designed model, and there is a direct relationship between inputs and output variables can be prediction of wax deposition thickness, when the operational conditions conform to the ranges of the input data was used to develop these model.
Using the designed model, and there is a direct relationship between inputs and output variables can be prediction of wax deposition thickness, when the operational conditions conform to the ranges of the input data was used to develop these model. 5.
Similar(58)
Surely, in the absence of anything to predict there can be no prediction error and no movement.
Consequences of this can be over-prediction (otherwise called overly-specific prediction) [1], or outright erroneous predictions.
Note that y can be any prediction that can be made with the model.
Note that y can be any prediction obtained using the model.
Although a child may not currently reside in the home, there can be no prediction for future occupancy.
Threats can be a prediction of the stalker's next move.
The outputs of a recommender system can be either predictions or recommendations.
Two different signals can be coded without prediction between them, and the signals can then be decoded with prediction at the decoder.
Any predictive model (deterministic or stochastic) requires validation before it can be used in prediction purposes.
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Justyna Jupowicz-Kozak
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