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Furthermore, these limitations scale prohibitively with increasing model size.
is a term to penalize increasing model size according to a tunable parameter.
Moreover, addition of a small number of links deduced directly from data improved predictive capacity while increasing model size only modestly.
It can be observed that with increasing model size the number of different trees increases to 187 for models with 16 internal nodes, while many of these models only differ by minor important splits at the bottom of the trees, which do not contribute much to the reduction of impurity and are medically very similar.
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To find such models, MACE converts the first-order problem into a set of "flattened" clauses which, for increasing model sizes, are instantiated into propositional clauses and solved as a SAT problem.
Analysis of constraints within GAMETES indicated that increasing model population size can expand model class coverage but does little to change the range of observed difficulty metric scores.
The overall predictive ability of the model was reduced, especially among small and medium ecoregions (R < 7 %), while the qualitative pattern of increasing model strength with ecoregion size was upheld.
Our results show that, even at low sample sizes, increasing model complexity for estimating tooth row OPCR values by including measures of mandibular motion is warranted, produces a better model in terms of AICc, and that the relative importance of these measures should be taken into account during analysis.
Orthogonal collocation shows some appealing properties (see [ 25]), but has the drawback of increasing the model size because it adds auxiliary variables and equations that increase the problem complexity.
Increasing the neighborhood size improves the performance of our regression filter but also increases the model size.
Higher order terms significantly increase the model size, yet yield litter gain in denoising results.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com