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The proposed algorithm can be used to identify all such minimal sets of test conditions.
Designs defined on minimal sets of samples are called minimum support designs.
By making use of a theory of default conditionals, here given by System Z, we isolate minimal sets of defaults with specificity conflicts.
Features were justified by reference to their role in distinguishing phonemes in minimal sets of words such as bill, pill, fill, mill, dill, sill, kill.
One theoretical approach is based on Minimal Cut Sets (MCSs) which are minimal sets of knockouts disabling the operation of a specified set of target elementary modes.
We suggest that minimal sets of probabilistic constraints will lead to much more efficient sampling of permissible conformations and sequence space.
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Thus, the minimal set of TFs proposed could be biased towards those expressed at higher levels.
Learning results from selecting an optimal minimal set of features to achieve recognition.
The extension defined a minimal set of non-functional attributes of parallel components.
The best solutions provided well-designed target models with a minimal set of rules.
The models vary from detailed, describing numerous ion channels, to simplified, grouping ionic channels into a minimal set of variables.
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