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Subjects were shown 57 choice sets; each choice set described three choice options (crackers).
These equations were fitted using the monospecific data set described by Forrester ([2014]).
All the classifier were performed on the data set described at Section 6.2.
All the classifiers were used on the data set described at Section 6.2.
All the systems use the feature set described in Section 2.1.
Our data set described above contains observatory and repeat station data.
All the classifiers were used on the data set described in Section 6.2.
Figure 6 Four building hypotheses that have been created by using the single rule set described in [34].
We consider the uncertainty set described by the D-norm was studied by Bertsimas and Sim [4 6].
We have for any two positive numbers m, n in N∪: Bm′ = Bn′ = B ∗ A, where the latter is the belief set described two paragraphs ago.
Motivated and inspired by the work mentioned above, in this paper, we consider the robust portfolio selection problem with an uncertainty set described by the ((p,w -norm.
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CEO of Professional Science Editing for Scientists @ prosciediting.com