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D-Confidence outperforms both its baseline criteria w.r.t. the early identification of instances from under-represented classes when using SVM and NNET as base classifiers.
In this paper we focus on information extraction in a natural language text that concerns the identification of instances of a specific class of entities in the text.
Circumscriptions of classes in an ontology must first and foremost (at least within the goals of the HAO, and we feel in general) allow for the identification of instances of the class in question.
While experimental approaches allow the determination of CRMs, genome-wide systematic identification of instances of CRMs nowadays still mainly resorts to computational methods due to the time-consuming, small-scale and low-throughput nature of experimental approaches [ 12- 14].
As is the case for safety interventions in general, identification of instances where missed opportunities have occurred is a pre-requisite for motivating and guiding organisational learning and improvement efforts and service redesign (Donaldson et al, 2014).
The simultaneous capture of mRNA abundance and translation is expected to be a more accurate proxy for protein levels than measurements of mRNA abundance alone (Ingolia et al., 2009) and provides a critical resource for the identification of instances of post-translational regulation of gene expression.
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Our scenario is somehow different: we do not assume that we have pre-labeled instances from all classes and, besides accuracy, we are mainly concerned with the fast identification of representative instances from all classes.
The work described in this paper supports a broader goal related to the identification of representative instances for each class in the absence of previous descriptions of some or all the classes, in order to get a classification model that is able to fully recognize the target concept, including all the classes to learn no matter how frequent or rare they are.
Moreover, RSIS also allows the identification of positive instances on an individual basis, as required in many practical applications.
This approach allows to facilitate the generic feature of sequence diagrams as well as an automatic analysis, the identification of the instances of a sequence diagram over a trace.
Plain radiography permitted correct identification of all instances of fluid leakage in patients with opacified prostheses.
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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