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In the second part, Intermediate Representations are defined and a case study on the advantages and disadvantages of the use of Intermediate Representations in the development of new products is presented.
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A third area of influence for differences in genetic diversity is in representation in the development and application of research resources in human genomics.
Phase 1 of the process was initially driven by the Nursing SGB, a sub-structure of SAQA, intended to ensure broader representation in the development of national qualifications.
This point of view is useful if one wants to write out specific matrix representations of tensors, however, in the development that follows will focus heavily on the indexing of tensor components in the various cases discussed.
As diSessa noted, research is limited here, and the role of student-created representations in conceptual development is complex.
In particular, areas of low marker density may correspond to regions of similar ancestry or identity by descent in the germplasm included in the initial diversity representation for the development of the sorghum DArT markers [ 28].
Difficulties in coding algorithms to analyze stabilities, rooted in their logical representation, led to the development of matrix representations of preference and explicit matrix calculations to determine stabilities.
However, in Simulation 2, there is no explicit orthographic layer in the network – this seems to result in the development of representations that have a degree of sensitivity to length.
Alternatively, learning may result in the development of representations that produce the same behavior with higher neural efficiency, thereby reducing activity (Jenkins et al., 1994; Toni et al., 1998; Ungerleider et al., 2002; Poldrack et al., 2005; Xiong et al., 2009; Ma et al., 2010; Penhune and Doyon, 2005).
This review focuses on recent advancement in the development and representation of conventional and advanced well models used in reservoir simulators for simulating fluid flow in porous media since the last review on the subject (Demetri and Farouq, 1993).
Today, there is a growing interest in the development of knowledge representations able to deal with uncertainty, which is a very common requirement in real world applications.
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