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A relevance vector machine is used to automatically select the most relevant terms of the model.
In particular, a relevance vector machine is used to automatically select the most relevant terms of the model while retaining an analytical expression for the predictive distribution.
Expect Labs's "anticipatory computing engine" extracts the most relevant terms and uses them to offer potentially helpful information (see "Smart Assistant Listens to You Talk, Fetches Info Automatically").
In an effort to consolidate our understanding of GSD, we have developed an ontology in order to capture the most relevant terms, concepts and relationships related to the goals, barriers and features of GSD projects.
The following sub-sections describe the general structure of the thesauri with reference to some of the most relevant terms and categories.
This means that developers don't have to pick out words one-by-one, and by linking the most relevant terms, Linkify encourages more users to click on them (and hopefully the contextual ads they find in search results).
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For what you call yourself, begin with the broadest most relevant term.
DAVID calculates an enrichment score and enrichment P value for each GO term to highlight the most relevant GO terms associated with the selected gene list.
This tool provides gene annotation and gene ontology (GO) term enrichment analysis and highlights the most relevant GO terms in a list of genes.
DAVID [ 28] is a web-based resource which provides batch annotation and GO [ 29] term enrichment analysis to highlight the most relevant GO terms associated with a given gene list.
This latter tool primarily provides typical batch annotation and gene-gene-ontology (gene-GO -term enrichment analysis to higene-GO -termost relevant gene-GO -term arenrichmented with analysisgene listo(highlightal., 2009a).
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most suitable terms
most valuable terms
most relevant procedures
most relevant manner
most relevant condition
most unequivocal terms
most widespread terms
most favorable terms
most relevant works
most relevant predictors
most terse terms
most sophisticated terms
most apocalyptic terms
most annoying terms
most scabrous terms
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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