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We saw a broad range of approaches, from generalised boosted methods to random forests, single value decomposition to matrix factorisation and collaborative filtering, with no one class of model outperforming all the others.
To consider this class of model uncertainties, a special technique of probability measure transformations is developed.
The first class of model uses interference patterns generated by multiple oscillations to explain grid formation [10].
To resolve this issue a class of model extensions is proposed to account for variable density effects.
In this paper we examine the stability of this class of model for the cases of one to three contours.
As usual in this class of model, only the utility differences between the number of alternatives minus one can be identified.
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One example of a class of models that could have escaped detection at the LHC has been labelled "natural supersymmetry".
Neither class of models is useful, however, for providing the practical advice that policymakers need in a crisis.
The term inflation is used to represent a class of models that each have different attributes and effects on the universe.
The paper considers performance information in a linear-quadratic class of model-following control systems.
We propose a new class of model-assisted estimators obtained by releasing a few calibration constraints and replacing them with a penalty term.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com