Sentence examples for generating a knowledge base from inspiring English sources

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Datasets from model systems with conserved canonical signaling pathways (such as Drosophila) play an important part in rapidly generating a knowledge base.

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Since there are only a limited number of germline gene segments, these genes can be pre-delimited to generate a knowledge base of FRs and CDRs.

In particular, it employs estimates of thermodynamic properties to generate a knowledge base of reaction, solvent and environment related properties that directly or indirectly influence the rate and/or conversion of a given reaction.

The goal of this integrated approach is to generate a knowledge base for improving clinical and field management of malaria.

In the context of a pilot study, this comprehensive scan of the keloid methylome was attempted as an initial proof of concept to generate a knowledge base for insight into the biological complexity of keloids from a genome-wide promoter methylation perspective.

The research question we wanted to answer was "What are the relative qualities of questions generated from a knowledge base, from searching the web and from a professional source of questions?" For the evaluation, we randomly selected 40 questions generated from the knowledge base, 20 questions from the web search, and 20 from the list of professional questions.

The model is generated from a knowledge base acquired from diverse experts, and the use of fuzzy logic techniques.

Therefore, when questions are generated from a knowledge base, it seems that a practical method is to have a human write the constraints for generation.

The task of generating minimal models of a knowledge base is at the computational heart of diagnosis systems like truth maintenance systems, and of nonmonotonic systems like autoepistemic logic, default logic, and disjunctive logic programs.

The predicted outcomes by the classifier are subsequently passed the reasoning engine that connects to a knowledge base for generating medical advices in real time, usually event driven.

They use probabilistic or rules-based inference to compare patient information with a knowledge base to generate a differential diagnosis list that is typically ranked in descending order of likelihood.

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