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Secondly, unify the different knowledge representations.
c Image knowledge representations (deduced from wavelet transform representation).
We will also discuss the need for knowledge representations.
Over the years a wide range of knowledge representations [24] with different characteristics was developed.
So, bridging the discrepancy in these two knowledge representations is a challenging problem.
End users often rely on various combinations of tools and knowledge representations to build a decision.
Knowledge, representations of that knowledge, and experiences combine to enable working effectively in design.
A wide variety of processes and knowledge representations are used to carry out these steps.
In this paper we compare the procedural and causal knowledge representations.
Future research will focus on a representation that closes the gap between machine-readable and human-readable knowledge representations.
The interest here is to exploit these classifiers from two different knowledge representations of an information source.
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