While the incompleteness of data is significant, the resulting maps are still expected to be good enough for proper interpretation (Glaeser et al., 1989).
Therefore your communication and emotional interpretation skills must be good.
Inter-rater reliability, which is essential for an instrument that contains a semi-structured interview subject to interviewer interpretation, was good to very good.
With a little critical interpretation, that could well be good for CNN, long martyred to its own journalism mythology.
"And they all told me one thing: 'Tupac was a very complex person, and you'll never really know him.' " Inconsistency, interpretation and meta-interpretation are good for urban legend but potentially bad for coherent narrative.
The intense pace of developments in this field is inspired, in a large part, by the hope that the quality of the data will ultimately be good enough to allow interpretation of tomograms of cells, organelles, bacteria and viruses in terms of the three-dimensional spatial arrangements of the constituent molecules.
One and the same witness c for ∃y must be good against any interpretation a of ∀x, so that R a, c) holds in M. The corresponding Skolem function is a constant.[5] In IF first-order logic, syntactic scopes no longer determine the semantic relation of dependence.
We have proved that any concept in any description logic that extends (mathcal {ALC}) with some features amongst I (inverse roles), (Q_k) (qualified number restrictions with numbers bounded by a constant k), and (mathsf {Self}) (local reflexivity of a role) can be learned if the training information system (specified as a finite interpretation) is good enough.
We prove that any concept in any description logic that extends (mathcal {ALC}) with some features amongst I (inverse roles), (Q_k) (qualified number restrictions with numbers bounded by a constant k), and (mathsf {Self}) (local reflexivity of a role) can be learned correctly if the training information system (specified as a finite interpretation) is good enough.
In this paper, we prove that any concept in any description logic that extends the basic DL (mathcal {ALC}) with some features amongst I (inverse roles), (Q_k) (qualified number restrictions with numbers bounded by a constant k), and (mathsf {Self}) (local reflexivity of a role) can be learned if the training information system (specified as a finite interpretation) is good enough.
