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While the volume of knowledge represented within Wikipedia is vast, it is difficult to extract that knowledge in the form of structured data for computation and analysis.
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All of the existing LML topic models use machine learning techniques to extract knowledge that has proved to be limited in scope.
The wavelet-based features of factor II extract the knowledge of the structure that can help weak sequence similarities detection.
We have collected some evidence that three of the vision's cornerstones, which are about knowledge, i.e., extracting knowledge, representing knowledge, and economic decision making, improve evolvability.
The purpose of the member function is to extract the knowledge from threshold values.
Statistical analyses are conducted to extract the knowledge from test data recorded by a driving simulator.
These methods call the Context Providers and Query Services to add or extract the knowledge.
These projects promise to transform how we access and extract the knowledge embedded in scientific articles.
To overcome this problem, methods that extract knowledge from the scientific literature by gene-name co-citation frequencies [ 6, 7] or by recognizing patterns of word occurrences [ 8] have been used.
The massive amounts of data being generated in all these environments push the need for algorithms that can extract knowledge in a readily manner.
Our objective is to develop a general system that can extract and represent knowledge contained in EMRs to support three CDS tasks test recommendation, initial diagnosis, and treatment plan recommendation given the condition of a patient.
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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