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Table 1 shows comparison in the approach of various knowledge based topic models.
This paper deals with the instrumentation of the collaboration between actors of various knowledge and know-how.
In this paper we argue that knowledge search has to reflect the heterogeneity of various knowledge sources with regard to the knowledge they can provide and how these sources can be activated.
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Due to this concept of modeling, the algorithm makes use of various biological knowledge sources such as transcription factor binding site (TFBS) information and gene interaction knowledge.
We developed a 17-question survey to assess availability of various clinical knowledge management features, functions, tools, and techniques provided by EHRs currently in use.
We estimated that a sample size of 371 would be required to estimate an assumed prevalence of 0.5 of various aspects knowledge about CHD at a confidence level of 95% with an error bound of 0.05.
Like TILAR, ExTILAR makes use of various prior-knowledge types such as transcription factor binding site information and gene interaction knowledge to infer biologically meaningful gene regulatory networks.
Systems analysis in agronomic systems implies the use of various types of knowledge, such as expert knowledge including stakeholder expertise and knowledge derived from scientific measurements and model-simulations.
Knowledge engineering is a discipline concerned with constructing and maintaining knowledge bases to store knowledge of various domains and using the knowledge by automated reasoning techniques to solve problems in domains that ordinarily require human logical reasoning.
Instead, acknowledging and embracing the continuous blending of various sources of knowledge in the face of a changing environment is increasingly recognized as part of a resilient knowledge system (Robinson and Berkes 2011; Reyes-García et al. 2013).
In this paper, we claim that the generation of good feature sets for signal-based classification requires the representation of various types of knowledge about signal processing.
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