首页|Investigators from Uppsala University Have Reported New Data on Machine Learning (The Generalizability of Machine Learning Models of Personality Across Two Text Domains)
Investigators from Uppsala University Have Reported New Data on Machine Learning (The Generalizability of Machine Learning Models of Personality Across Two Text Domains)
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NETL
NSTL
Elsevier
Researchers detail new data in Machine Learning. According to news reporting originating in Uppsala, Sweden, by NewsRx journalists, research stated, “Machine learning of high-dimensional models have received attention for their ability to predict psychological variables, such as personality. However, it has been less examined to what degree such models are capable of generalizing across domains.” Financial support for this research came from Swedish Foundation for Humanities & Social Sciences. The news reporters obtained a quote from the research from Uppsala University, “Across two text domains (Reddit message and personal essays), compared to lowdimensionaland theoretical models, atheoretical high-dimensional models provided superior predictive accuracy within but poor/non-significant predictive accuracy across domains. Thus, complex models depended more on the specifics of the trained domain. Further, when examining predictors of models, few survived across domains.”
UppsalaSwedenEuropeCyborgsEmerging TechnologiesMachine LearningUppsala University
NETL
NSTL
Elsevier
