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(2) Constraint filtering: generate the filtered constraint set FCS, as defined in Eq. (2).
In the first section, we define the goal of the paper and recall the background of case-based reasoning and constraint filtering.
The scoring functions (Formulas 1 and 2) contribute an appropriate constraint filtering pathways.
After some recalls about this two-step approach, we propose to evaluate a recent evolutionary optimization algorithm called CFB-EA (for constraint filtering based evolutionary algorithm).
The goal of this paper is to show how it is possible to support design decisions with two different tools relying on two kinds of knowledge: case-based reasoning operating with contextual knowledge embodied in past cases and constraint filtering that operates with general knowledge formalized using constraints.
As in QML-CLONALG, the pre-processing phase of QML-AiNet includes four sub-components: Constraint generation, Constraint filtering, Calculation of conflict set and dependency set, and Constraint set partition.
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Bayesian posterior probabilities for alternative microhylid and natatanuran phylogenetic hypotheses [13], [29] [30] were estimated by screening the post-burn-in trees sampled by MrBayes using topological constraint filters in PAUP*.
Bayesian posterior probabilities for alternative phylogenetic hypotheses were estimated by screening the post-burn-in trees sampled by MrBayes using topological constraint filters in PAUP*.
No constraints or filtering techniques are required for the minimum thickness control.
There is a marked difference in events, constraints, and filtering in DEN-ng compared to Ponder.
Choosing is a good compromise between implementation constraints and filtering efficiency (in order not to reduce DR, while improving FAR).
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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