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To solve this problem, researchers are interested in developing a humanly understandable representation for neural networks.
OAI-ORE/RDF: machine understandable representation of the data.
The ability to create an understandable representation of a classified dataset make decision trees one of the most frequently used data mining techniques [ 19].
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This paper addresses the issues of supporting the data publishers to maintain up-to-date and machine understandable representations, separation of views (static or dynamic data) and delivering up-to-date information to data consumers in real time, helping data consumers to keep track of changes triggered from diverse environments and keeping track of evolution of the smart environment.
We envisage a situation where aresearcher, prior to embarking on a calculation, enters key parameters in a searchtool, perhaps resembling the Google interface, and that this would return renderedand understandable representations of the output of previous calculations along withlinks to the published literature.
Both older adults and occupational therapists perceived the use of CIDA as a promising solution which they believed generated intuitive and understandable representations of the home environment.
Table 3 provides a summary of the themes, sub-themes and the associated study outcomes.> Based on the findings of this study, in terms of PU, patients see the use of CIDA as a promising solution which they believed generated intuitive and understandable representations of the home environment.
Therefore, this method attempts to add to the limited research in non-proprietary and user-understandable representation of building regulations that is experimentally tested for understandability and reading speed.
URIs of single EDAM concepts either redirect to a dedicated Web page in the NCBO BioPortal, or return a machine-understandable representation (full EDAM.owl is returned in order to maintain context).
A key part of the chemical sciences are the reactions that chemists perform and report in great number, and the goal of PatentEye is to demonstrate the potential to create an automated system capable of extracting reactions from the literature, creating machine-understandable representations using CML and sharing them as Open Data.
Accept: application/rdf+xml. can return a machine understandable RDF representation of the data.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com