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Suffix trees and other tree-based approaches use some tree-like structure to accomplish the sorted index task.
For this reason, it is important that any experiment in which Fos expression is used as a means of identifying the neural structures involved in particular behavioural processes should employ a control procedure that is matched as closely as possible to the index task on these 'irrelevant' variables.
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If we take the common view that α oscillations index task-related attentional demands [ 13], and if we posit that subjects allocated the most attention to the hardest tasks, then the EVP observed in the VG comparison could directly reflect differences in attentional demand between the verbal and grating tasks.
Our recommender system architecture is standard, but during the indexing task, the representations of content of each article and interests of users' profiles created are based on this domain knowledge.
Using a combination of two conditional random field models, a selected set of features, and a post-processing stage, we achieved F-measure results of 87.48% in the chemical entity mention recognition task and 87.75% in the chemical document indexing task.
16 In fact, it has also been suggested that DS mediates cognitive effort, indexing task difficulty, complexity, or attentional demand.
Most importantly, we wanted a tool our curators would actually use, one which made the indexing task easier, not more difficult or more time-consuming.
The difference in the F-measures of Figure 1b versus Figure 2 suggests that the gene indexing task is more difficult for human curators than the document triage task, for which the only measure that is <90% is the recall (85%) in the PubTator set.
We conclude by identifying important future areas needing innovation in Deep Learning for Big Data Analytics, including data sampling for generating useful high-level abstractions, domain (data distribution) adaption, defining criteria for extracting good data representations for discriminative and indexing tasks, semi-supervised learning, and active learning.
Although we do not foresee that curation tasks will ever be fully automated, we are eager to implement named entity recognition (NER) tools for gene tagging that can help streamline our curation workflow and simplify gene indexing tasks within the MGI system.
Index of task.
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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