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Color is used to catch significant differences in the data sets by view; manipulation of visual object sizes may assist persons to identify the most important elements of the information; representation of connections improves patterns identifications and aims to facilitate data analysis; Grouping objects using similarity principle decreases cognitive load.
This suggests that, in the cerebellum, redundancy in information representation of input signals due to the huge number of granule cells serves to achieve the robust representation of POT.
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Ideally, if all the possible relationships among genes could be obtained, this network should be a full-information representation of an organism.
The main difference between fuzzy and neural paradigms is that fuzzy set theory tries to mimic the human reasoning and thought process whereas neural networks attempt to emulate the architecture and information representation scheme of the human brain.
There is a fundamental and common currency of information representation across prediction centers of the brain.
Three levels of information representation provide the maximum balance of simplicity and flexibility, and each of them is assisted by a pattern/template used by a corresponding tool.
The idea of the information representation is based on the assumption of a GD.
Information entropy is a good indicator of information representation with respect to randomness and content.
Parag Mital is director of machine intelligence at Kadenze, as well as an artist and interdisciplinary researcher obsessed with the nature of information, representation and attention.
The basis for the structure information representation is the view of a molecule as an information network.
In such situations, alternative modes of information representation can be used, for example the nested intervals known as "possibility distributions".
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