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The reason is that with the unbiased model, the biases are explicitly modelled (parameterized) and thus the model strength is enhanced and the ambiguity precision will be improved as compared to the solution obtained with the biased model.
Firstly, we use an unbiased model testing methodology to perform the experimental comparison between the various different approaches.
To use the bias-affected or unbiased model depends on the balance of bias and ambiguity precision.
The training set is further used in N-fold cross validation process for internal model evaluation and selection while the IVS data is used to perform an unbiased model validation after the best model is built and selected.
Thus, we were able to develop an unbiased model of SI that could be applied to create a spatially explicit map based primarily on soils as modified by past (land use and forest type) and recent forest management (basal area).
This paper focuses on the validation (for stability and for performance) of a controller that has been designed from an unbiased model of the true system, identified either in open-loop or in closed-loop using a prediction error framework.
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Random Forest pools together many noisy but approximatively unbiased models, hence, reducing the predictions variance.
We pay particular attention to derive unbiased models because over-fitting of internal parameters can undermine the general applicability of algorithms (Hawkins, 2004; Tartaglia et al., 2004).
We note that the difference between the biased and unbiased models is not as marked as the real PPI discovery (Additional file 8: Figure S8).
Unbiased models are expected to have a slope coefficient of 1, whereas values greater than 1 indicate a biased underestimation in the DGV prediction and values smaller than 1 indicate a biased overestimation of the DGV.
Our approach allows also for straightforward and unbiased modeling of photobleaching and other irreversible reactions: when bleached molecules leave the simulation volume, new "bright" molecules are automatically added, Equations (35) and (36).
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