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Although this method is model free (non-parametric), it is primitive for handling Raman signals.
Maximum parsimony method is model free, whereas stochastic mapping is based on an underlying evolutionary model.
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The tuning method is model-free aud can be used in an iterative closed-loop procedure.
Unfortunately this method is model-based and novel polymer architectures require suitable optical models.
The second is that no information of the system and external disturbance is necessary in the developed control scheme, which means the method is model-free.
The proposed method is model-free so long as all individual costs can be measured and requires little knowledge on the coupling structure of the problem to be optimized.
The solution of this equation by the least-squares method gives activation energy, E. The method is model-free, since E is determined on the basis of the experiment without any theoretical functions.
This proposed method is modeled by a Markovian chain.
The search method is model-based and the used distance measure was Pearson's correlation coefficient of 0.8.
The method is model-free and non-parametric in the sense that it does not assume any particular genetic model.
However, a major problem with this class of methods is model selection.
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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