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The researchers claim that the software can "learn to read real documents and answer complex questions with minimal prior knowledge of language structure".
It is capable of revealing natural groups of objects of interest, especially for a new domain with minimal prior knowledge.
Advantages of our approach include better performance, minimal prior knowledge for the target pattern, and easy implementation and portability as a modularized software component.
In [17], two distributed cooperative learning and allocation schemes were proposed: one that assumes minimal prior knowledge of secondary user information and the other does not assume such information.
The lay reviewer had minimal prior knowledge of the subject.
In our case we assume that the adversary has minimal prior knowledge as this is similar to the context of the re-identification attack on the ADE database.
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We propose an approach based on manifold learning, which is particularly suitable for problems with multiple modalities, since it aims to capture the intrinsic structure of the data and relies on minimal prior model knowledge.
Introductory students started at a beginner level with minimal amounts of prior knowledge based on pre-MMM survey results.
In this case, a single workshop may not be adequate, especially if teachers have minimal prior levels of knowledge about, or experience with, the focus of the training (Manning and Avery 2007; Moreno et al. 2015; Zaslow 2014).
In this case, research suggests that single, 1- or 2-h beginner-level workshops are not adequate for teachers with minimal prior levels of knowledge about, or experience with, the focus of the training (Manning and Avery 2007; Moreno et al. 2015; Zaslow 2014).
The chapters on risk management assume minimal or no prior knowledge of the subject, and the principles are well explained.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com